(since March 28, 2006)

Last modified: 02/27/2012

This page introduces my research activities as a list of publications. Some papers are available in PDF (Portable Document Format)PDF. To view PDF files, you can download the Adobe Reader. Get Adobe Reader

Contents

Journal papers (with review):

  1. Kuremoto, T., Kinoshita, Y., Feng, L., Watanabe, S., Kobayashi, K., and Obayashi, M., A Gesture Recognition System with Retina-V1 Model and One-Pass Dynamic Programming, Neurocomputing, Vol.xx, No.xx, pp.xx-xx, 2012 (to appear).
    Download: Full Paper (Elsevier)PDF (to appear)

  2. Uchiyama, S., Obayashi, M., Kuremoto, T., and Kobayashi, K., A Real-time Reinforcement Learning Control System with Tracking Performance Compensator, Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.132-C, No.6, pp.xx-xx, 2012 (in Japanese) (to appear).
    Download: Full Paper (IEEJ)PDF or Extended Summary (IEEJ)PDF (to appear)

  3. Feng, L., Obayashi, M., Kuremoto, T., and Kobayashi, K., A Learning Fuzzy Petri Net Model, IEEJ Transactions on Electrical and Electronic Engineering, Vol.7, No.3, pp.xx-xx, 2012 (to appear).
    Download: Full Paper (IEEJ)PDF (to appear)

  4. Chen, T. Y., Zhang, D., Dragomir, A., Kobayashi, K., Akay, Y., and Akay, M., Investigating the Influence of PFC Transection and Nicotine on Dynamics of AMPA and NMDA Receptors of VTA Dopaminergic Neurons, Journal of NeuroEngineering and Rehabilitation, Vol.8, No.58, doi:10.1186/1743-0003-8-58, 2011.
    Download: Full Paper (BioMed) PDF

  5. Kuremoto, T., Obayashi, M., Kobayashi, K., and Feng, L., An Improved Internal Model of Autonomous Robots by a Psychological Approach, Cognitive Computation, Vol.3, pp.501-509, 2011.
    Download: Full Paper (SpringerLink)PDF

  6. Obayashi, M., Uchiyama, S., Kuremoto, T., and Kobayashi, K., A Robust Cooperated Control Method with Reinforcement Learning and Adaptive Control, Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.131-C, No.8, pp.1467-1474, 2011 (in Japanese).
    Download: Full Paper (IEEJ)PDF or Extended Summary (IEEJ)PDF

  7. Kuremoto, T., Watanabe, S., Kobayashi, K., Feng, L., and Obayashi, M.,The Dynamical Recollection of Interconnected Neural Networks Using Meta-heuristics, Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.131-C, No.8, pp.1475-1484, 2011 (in Japanese).
    Download: Full Paper (IEEJ)PDF or Extended Summary (IEEJ)PDF

  8. Nakano, K., Obayashi, M., Kuremoto, T., and Kobayashi, K., A Robust Reinforcement Learning Control Design Method for Nonlinear System with Partially Unknown Structure, Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.130-C, No.11, pp.2090-2091, 2010 (in Japanese).
    Download: Full Paper (IEEJ)PDF

  9. Makino, Y., Obayashi, M., Kuremoto, T., and Kobayashi, K., Indirect Adaptive Self-structuring Fuzzy Neural Network Control System, Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.130-C, No.10, pp.1882-1887, 2010 (in Japanese).
    Download: Full Paper (IEEJ)PDF or Extended Summary (IEEJ)PDF

  10. Kuremoto, T., Komoto, T., Kobayashi, K., and Obayashi, M., Parameterless-Growing-SOM and Its Application to a Voice Instruction Learning System, Journal of Robotics, Vol.2010, pp.1-9, 2010.
    Download: Full Paper (Hindawi Publishing Co.)PDF

  11. Obayashi, M., Feng, L., Kuremoto, T., and Kobayashi, K., Intelligent Agent Construction Using the Attentive Characteristic Patterns of Chaotic Neural Networks, Artificial Life and Robotics, Vol.15, No.2, pp.216-220, 2010.
    Download: Full Paper (SpringerLink)PDF

  12. Kuremoto, T., Yamano, Y., Obayashi, M., and Kobayashi, K., An Improved Internal Model for Swarm Formation and Adaptive Swarm Behavior Acquisition, Journal of Circuits, Systems, and Computers, Vol.18, No.8, pp.1517-1531, 2009.
    Download: Full Paper (World Scientific)PDF

  13. Kuremoto, T., Obayashi, M., and Kobayashi, K., Adaptive Swarm Behavior Acquisition by a Neuro-Fuzzy System and Reinforcement Learning Algorithm, International Journal of Intelligent Computing and Cybernetic, Vol.2, No.4, pp.724-744, 2009.
    Download: Full Paper (Emerald)PDF

  14. Mizoue, H., Kobayashi, K., Kuremoto, T., and Obayashi, M., A Meta-parameter Learning Method in Reinforcement Learning Based on Temporal Difference Error, Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.129-C, No.9, pp.1730-1736, 2009 (in Japanese).
    Download: Full Paper (IEEJ)PDF or Extended Summary (IEEJ)PDF

  15. Kobayashi, K., Obayashi, M., and Kuremoto, T., A Local Linear Wavelet Neural Network Based on a Bayesian Design Method, Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.129-C, No.7, pp.1356-1362, 2009 (in Japanese).
    Download: Full Paper (IEEJ)PDF or Extended Summary (IEEJ)PDF

  16. Kogawa, N., Obayashi, M., Kobayashi, K., and Kuremoto, T., A Reinforcement Learning Method Based on an Immune Network Adapted to a Semi-Markov Decision Process, Artificial Life and Robotics, Vol.13, No.2, pp.538-542, 2009.
    Download: Full Paper (SpringerLink)PDF

  17. Obayashi, M., Nakahara, N., Kuremoto, T., and Kobayashi, K., A Robust Reinforcement Learning Using Concept of Sliding Mode Control, Artificial Life and Robotics, Vol.13, No.2, pp.526-530, 2009.
    Download: Full Paper (SpringerLink)PDF

  18. Kuremoto, T., Ohta, T., Kobayashi, K., and Obayashi, M., A Dynamic Associative Memory System by Adopting an Amygdala Model, Artificial Life and Robotics, Vol.13, No.2, pp.478-482, 2009.
    Download: Full Paper (SpringerLink)PDF

  19. Obayashi, M., Narita, K., Kobayashi, K., and Kuremoto, T., A Transient Chaotic Associative Memory Model with Temporary Stay Function, Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.128-C, No.12, pp.1852-1858, 2008 (in Japanese).
    Download: Full Paper (IEEJ)PDF or Extended Summary (IEEJ)PDF

  20. Kobayashi, K., Nakano, K., Kuremoto, T., and Obayashi, M., A State Predictor Based Reinforcement Learning System, Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.128-C, No.8, pp.1303-1311, 2008 (in Japanese).
    Download: Full Paper (IEEJ)PDF or Extended Summary (IEEJ)PDF

  21. Hano, T., Kuremoto, T., Kobayashi, K., and Obayashi, M., A Hand Image Instruction Learning System Using Transient-SOM, Transactions on SICE (Society of Instrument and Control Engineering), Vol.43, No.11, pp.1004-1006, 2007 (in Japanese).

  22. Kogawa, N., Obayashi, M., Kuremoto, T., and Kobayashi, K., A Reinforcement Learning Method Based on Immune Network, Transactions on SICE (Society of Instrument and Control Engineering), Vol.43, No.6, pp.525-527, 2007 (in Japanese).

  23. Obayashi, M., Omiya, R., Kuremoto, T., and Kobayashi, K., Shapes of Non-monotonous Activation Functions in Chaotic Neural Network Associative Memory Model and Its Evaluation, Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.126-C, No.11, pp.1401-1405, 2006 (in Japanese).
    Download: Full Paper (IEEJ)PDF or Extended Summary (IEEJ)PDF

  24. Umesako, K., Obayashi, M., and Kobayashi, K., Evolutionary Reinforcement Learning System with Time-varying Parameters, Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.124-C, No.7, pp.1478-1483, 2004 (in Japanese).
    Download: Full Paper (IEEJ)PDF or Extended Summary (IEEJ)PDF

  25. Obayashi, M., Yuda, K., Omiya, R., and Kobayashi, K., Associative Memory and Mutual Information in a Chaotic Neural Network Introducing Function Typed Synaptic Weights, Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.123-C, No.9, pp.1631-1637, 2003 (in Japanese).
    Download: Full Paper (IEEJ)PDF or Extended Summary (IEEJ)PDF

  26. Umesako, K., Obayashi, M., and Kobayashi, K., Self-Organized Fuzzy Reinforcement Learning System, Transactions on SICE (Society of Instrument and Control Engineering), Vol.39, No.7, pp.699-701, 2003 (in Japanese).

  27. Umesako, K., Obayashi, M., and Kobayashi, K., Reinforcement Learning Using Adaptive Search Method, Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.122-C, No.3, pp.374-380, 2002 (in Japanese).
    Download: Full Paper (IEEJ)PDF or Extended Summary (IEEJ)PDF

  28. Obayashi, M., Umesako, K., and Kobayashi, K., A New Method for Faster Neural Networks Learning Introducing Functions of Synaptic Weights and Its Application to Nonlinear System Control, Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.121-C, No.2, pp.385-391, 2001 (in Japanese).
    Download: Full Paper (IEEJ)PDF or Extended Summary (IEEJ)PDF

  29. Obayashi, M., Watanabe, K., and Kobayashi, K., Chaotic Neural Networks with Radial Basis Functions and Its Application to Memory Search Problem, Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.120-C, No.10, pp.1441-1446, 2000 (in Japanese).
    Download: Full Paper (IEEJ)PDF or Extended Summary (IEEJ)PDF

  30. Wu, B-. Y.(Kuremoto, T.), Kobayashi, K., and Torioka, T., Pattern Separating Conditions of a Layered Nerve Net ---The Number of Connections between Layers R=4---, Transactions on IEICE (The Institute of Electronics, Information and Communication Engineers), Vol.J80-D-II, No.9, pp.2573-2577, 1997 (in Japanese).
    Download: Full Paper (IEICE)PDF

  31. Ueda, N., Kobayashi, K., and Torioka, T., A Wavelet Neural Network with Evolutionally Generated Structures, Transactions on IEICE (The Institute of Electronics, Information and Communication Engineers), Vol.J80-D-II, No.2, pp.652-659, 1997 (in Japanese).
    Download: Full Paper (IEICE)PDF

  32. Kobayashi, K., Torioka, T., and Yoshida, N., A Wavelet Neural Network with Network Optimizing Function, Transactions on IEICE (The Institute of Electronics, Information and Communication Engineers), Vol.J77-D-II, No.10, pp.2121-2129, 1994 (in Japanese).
    Download: Full Paper (IEICE)PDF

  33. Kobayashi, K., Torioka, T., and Ikeda, N., Fundamental Consideration on Self-formation of Recognition Cells. Neural Networks, Vol.7, No.8, pp.1241-1252, 1994.
    Download: Full Paper (Science Direct)PDF

  34. Kobayashi, K., Hara, H., and Torioka, T., Pattern Separation Function of Two-layered Random Net with Feedforward Inhibitory Connections, Transactions on IEICE (The Institute of Electronics, Information and Communication Engineers), Vol.J77-D-II, No.3, pp.583-590, 1994 (in Japanese).
    Download: Full Paper (IEICE)PDF

Proceedings of international conferences (with review):

  1. Obayashi, M., Koga, S., Kuremoto, T., and Kobayashi, K., Handwriting Character Classification Using Freeman's Olfactory KIII Model, Proceedings of the 17th International Symposium on Artificial Life and Robotics (AROB2012), pp.1040-1043, January 19-21, 2012 (Beppu, Japan).

  2. Obayashi, M., Watanabe, K., Kuremoto, T., and Kobayashi, K., Development of a Brain Computer Interface Using Inexpensive Commercial EEG Sensor with One-channel, Proceedings of the 17th International Symposium on Artificial Life and Robotics (AROB2012), pp.714-717, January 19-21, 2012 (Beppu, Japan).

  3. Feng, L., Obayashi, M., Kuremoto, T., and Kobayashi, K., Optimization and Verification for a Robot Control System Based on Learning Petri Net Model, Lecture Notes in Electrical Engineering (LNEE), Vol.133, pp.815-823, Springer-Verlag, 2011
    Note: this paper was also included in Proceedings of the 3rd International Asia Conference on Informatics in Control, Automation and Robotics (CAR2011), December 24-25, 2011 (Shenzhen, China).
    Download: Full Paper (SpringerLink)PDF

  4. Kuremoto, T., Yamano, Y., Feng, L., Kobayashi, K., and Obayashi, M., A Neuro-Fuzzy Network with Reinforcement Learning Algorithms for Swarm Learning, Lecture Notes in Electrical Engineering (LNEE), Vol.xx, pp.xx-xx, Springer-Verlag, 2011 (to appear).
    Note: this paper was also included in Proceedings of 2011 International Conference on Future Wireless Networks and Information Systems (ICFWI2011), Vol.x, pp.xx-xx, November 30-December 1, 2011 (Macao, China) (to appear).
    Download: Full Paper (SpringerLink)PDF

  5. Uchiyama, S., Obayashi, M., Kuremoto, T., and Kobayashi, K., Robust Reinforcement Learning Control System with Auto-Structuring Fuzzy Neural Network, Proceedings of the 3rd International Symposium on Digital Manufacturing 2011 (ISDM2011), pp.95-100, November 30-December 2, 2011 (Kitakyushu, Japan) (to appear).

  6. Kobayashi, K., Kanehira, R., Kuremoto, T., and Obayashi, M., An Action Selection Method Based on Estimation of Other's Intention in Time-Varying Multi-Agent Environments, Lecture Notes in Computer Science (LNCS), Vol.7064, pp.76-85, Springer-Verlag, 2011.
    Note: this paper was also included in Proceedings of 18th International Conference on Neural Information Processing (ICONIP2011), November 14-17, 2011 (Shanghai, China).
     Download: Full Paper (SpringerLink)PDF or ICONIP11.pdfPDF

  7. Obayashi, M., Yokoji, Y., Uchiyama, S., Feng, L., Kuremoto, T., and Kobayashi, K., Intelligent Tracking Control Method of a Target by Group of Agents with Nonlinear Dynamics, Proceedings of International Conference on Control, Automation and Systems (ICCAS2011), pp.928-933, October 26-29, 2011 (Gyeonggi-do, Korea).

  8. Uchiyama, S., Obayashi, M., Kuremoto, T., and Kobayashi, K., Robust Reinforcement Learning Control System with Tracking Performance Compensator, Proceedings of International Conference on Control, Automation and Systems (ICCAS2011), pp.248-253, October 26-29, 2011 (Gyeonggi-do, Korea).

  9. Kuremoto, T., Kinoshita, Y., Feng, L., Watanabe, S., Kobayashi, K., and ,Obayashi, M., A Gesture Recognition System Using One-Pass DP Method, Lecture Notes in Artificial Intelligence (LNAI), Vol.6839, pp.581-587, Springer-Verlag, 2011.
    Note: this paper was also included in Proceedings of the 2011 International Conference on Intelligent Computing (ICIC2011), August 11-14, 2011 (Zhengzhou, China) (to appear).
    Download: Full Paper (SpringerLink)PDF

  10. Kuremoto, T., Yamane, T., Feng, L., Kobayashi, K., and ,Obayashi, M., A Human-Machine Interaction System: A Voice Command Learning System Using PL-G-SOM, Proceedings of 2011 International Conference on Industrial Engineering and Management (IEM2011), Vol.2, pp.83-86, August 12-14, 2011 (Zhengzhou, China).

  11. Obayashi, M., Nishida, T., Kuremoto, T., Kobayashi, K., and Feng, L., A Reinforcement Learning System Embedded Agent with Neural Network-Based Multi-valued Pattern Memory Structure, Proceedings of International Conference on Control, Automation and Systems (ICCAS2010), pp.176-181, October 27-30, 2010 (Gyeonggi-do, Korea).

  12. Feng, L., Obayashi, M., Kuremoto, T., and Kobayashi, K., An Intelligent Control System Construction Using High-level Time Petri Net and Reinforcement Learning, Proceedings of International Conference on Control, Automation and Systems (ICCAS2010), pp.535-539, October 27-30, 2010 (Gyeonggi-do, Korea).

  13. Kuremoto, T., Obayashi, M., Kobayashi, K., and Feng, L., Autonomic Behaviors of Swarm Robots Driven by Emotion and Curiosity, Lecture Notes in Bioinformatics (LNBI), Vol.6330, pp.541-547, Springer-Verlag, 2010.
    Note: this paper was also included in Proceedings of 2010 International Conference on Life System Modeling and Simulation & 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (LSMS & ICSEE2010), September 17-20, 2010 (Wuxi, China).
    Download: Full Paper (SpringerLink)PDF

  14. Feng, L., Obayashi, M., Kuremoto, T., and Kobayashi, K., A Learning Petri Net Model Based on Reinforcement Learning, Proceedings of the 15th International Symposium on Artificial Life and Robotics (AROB2010), pp.290-293, February 4-6, 2010 (Beppu, Japan).

  15. Obayashi, M., Kuremoto, T., and Kobayashi, K., Intelligent Agent Construction Using the Attentive Characteristic Patterns of Chaotic Neural Networks, Proceedings of the 15th International Symposium on Artificial Life and Robotics (AROB2010), pp.597-600, February 4-6, 2010 (Beppu, Japan).

  16. Kobayashi, K., Mizoue, H., Kuremoto, T., and Obayashi, M., A Meta-learning Method Based on Temporal Difference Error, Lecture Notes in Computer Science (LNCS), Vol.5863, pp.530-537, Springer-Verlag, 2009.
    Note: this paper was also included in Proceedings of 16th International Conference on Neural Information Processing (ICONIP2009), pp.373-374, December 1-5, 2009 (Bangkok, Thailand).
     Download: Full Paper (SpringerLink)PDF or ICONIP09.pdfPDF

  17. Obayashi, M., Yamada, K., Kuremoto, T., and Kobayashi, K., A Robust Reinforcement Learning System Using Sliding Mode Control with State Variable Filters, Proceedings of 2009 CACS (Chinese Automatic Control Society) International Automatic Control Conference (CACS2009), CD-ROM, November 27-29, 2009 (Taipei, Taiwan).

  18. Kuremoto, T., Ohta, T., Kobayashi, K., and Obayashi, M., A Functional Model of Limbic System of Brain, Lecture Notes in Computer Science (LNCS), Vol.5819, pp.135-146, Springer-Verlag, 2009.
    Note: this paper was also included in Proceedings of 2009 International Conference on Brain Informatics (BI2009), October 22-24, 2009 (Beijing, China).
     Download: Full Paper (SpringerLink)PDF

  19. Kuremoto, T., Komoto, T., Kobayashi, K., and Obayashi, M., A Voice Instruction Learning System Using PL-T-SOM, Proceedings of the 2nd International Conference on Image and Signal Processing (CISP2009), CD-ROM, October 17-19, 2009 (Tianjin, China).

  20. Obayashi, M., Kuremoto, T., and Kobayashi, K., A Self-Organized Fuzzy-Neuro Reinforcement Learning System for Continuous State Space for Autonomous Robots, Proceedings of International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA08), pp.69-74, December 10-12, 2008 (Vienna, Austria).

  21. Kobayashi, K., Obayashi, M., and Kuremoto, T., A Bayesian Local Linear Wavelet Neural Network, Lecture Notes in Computer Science (LNCS), Vol.5507, pp.147-154, Springer-Verlag, 2009.
    Note: this paper was also included in Proceedings of 15th International Conference on Neural Information Processing (ICONIP2008), pp.113-114, November 25-28, 2008 (Auckland, New Zealand).
     Download: Full Paper (SpringerLink)PDF or ICONIP08.pdfPDF

  22. Obayashi, M., Narita, K., Kuremoto, T., and Kobayashi, K., A Reinforcement Learning System with Chaotic Neural Networks-Based Adaptive Hierarchical Memory Structure for Autonomous Robots, Proceedings of International Conference on Control, Automation and Systems (ICCAS2008), pp.69-74, October 14-17, 2008 (Seoul, Korea).

  23. Kuremoto, T., Obayashi, M., Kobayashi, K.., Adachi, H., and Yoneda, K., A Neuro-fuzzy Learning System for Adaptive Swarm Behaviors Dealing with Continuous State Space, Lecture Notes in Computer Science (LNCS), Vol.5227, pp.675-683, Springer-Verlag, 2008.
    Note: this paper was also included in Proceedings of the 2008 International Conference on Intelligent Computing (ICIC2008), September 15-18, 2008 (Shanghai, China).
    Download: Full Paper (SpringerLink)PDF

  24. Kuremoto, T., Obayashi, M., Kobayashi, K., Adachi, H., and Yoneda, K., A Reinforcement Learning System for Swarm Behaviors, Proceedings of the 2008 IEEE World Congress on Computational Intelligence (WCCI2008), pp.3710-3715, June 1-6, 2008 (Hong Kong, China).

  25. Kuremoto, T., Ohta, T., Kobayashi, K., and Obayashi, M., A Dynamic Associative Memory System Adopting Amygdala Model, Proceedings of the 13th International Symposium on Artificial Life and Robotics (AROB2008), pp.563-566, January 31-February 2, 2008 (Beppu, Japan).

  26. Obayashi, M., Yano, Y., Kobayashi, K., and Kuremoto, T., Chaotic Dynamical Associative Memory Model Using Supervised Learning, Proceedings of the 13th International Symposium on Artificial Life and Robotics (AROB2008), pp.555-558, January 31-February 2, 2008 (Beppu, Japan).

  27. Obayashi, M., Nakahara, N., Kuremoto, T., and Kobayashi, K., A Robust Reinforcement Learning Using Concept of Sliding Mode Control, Proceedings of the 13th International Symposium on Artificial Life and Robotics (AROB2008), pp.547-550, January 31-February 2, 2008 (Beppu, Japan).

  28. Kogawa, N., Obayashi, M., Kobayashi, K., and Kuremoto, T., A Reinforcement Learning Method Based on Immune Network Adapted to Semi Markov Decision Process, Proceedings of the 13th International Symposium on Artificial Life and Robotics (AROB2008), pp.63-66, January 31-February 2, 2008 (Beppu, Japan).

  29. Kobayashi, K., Nakano, K., Kuremoto, T., and Obayashi, M., Cooperative Behavior Acquisition of Multiple Autonomous Mobile Robots by an Objective-based Reinforcement Learning System, Proceedings of International Conference on Control, Automation and Systems (ICCAS2007), pp.777-780, October 17-20, 2007 (Seoul, Korea).
    Download: ICCAS07.pdfPDF

  30. Kuremoto, T., Hano, T., Kobayashi, K., and Obayashi, M., Robot Feeling Formation Based on Image Features, Proceedings of International Conference on Control, Automation and Systems (ICCAS2007), pp.758-761, October 17-20, 2007 (Seoul, Korea).

  31. Kuremoto, T., Obayashi, M., and Kobayashi, K., Forecasting Time Series by SOFNN with Reinforcement Learning, Proceedings of the 27th Annual International Symposium on Forecasting (ISF2007), pp.99, June 24-27, 2007 (New York, USA).

  32. Obayashi, M., Kogawa, N., Toyota, S., Kobayashi, K., Kuremoto, T., Controller Design Based on Immune Concept and Its Application to Chaotic Control, Proceedings of 2006 CACS Automatic Control Conference (CACS2006), pp.327-331, November 10-11, 2006 (Tamsui, Taiwan).

  33. Kuremoto, T., Hano, T., Kobayashi, K., and Obayashi, M., For Partner Robots: A Hand Instruction Learning System Using Transient-SOM, Proceedings of the 2nd International Conference on Natural Computation and the 3rd International Conference on Fuzzy Systems and Knowledge (ICNC-FSKD2006), Vol.xxxx, pp.403-414, September 24-28, 2006 (Xi'an, China).

  34. Kogawa, N., Obayashi, M., Kobayashi, K., and Kuremoto, T., Learning Method of Cooperative Team Play Using the Immune System, Proceedings of the 11th International Symposium on Artificial Life and Robotics (AROB2006), pp.183-186, pp.183-186, January 23-25, 2006 (Beppu, Japan).

  35. Kuremoto, T., Eto, T., Kobayashi, K., and Obayashi, M., A Chaotic Model of Hippocampus-Neocortex, Lecture Notes in Computer Science (LNCS), Vol.3610, pp.439-448, Springer-Verlag, 2005.
     Note: this paper was also included in Proceedings of the 1st International Conference on Natural Computation (ICNC2005), August 27-29, 2005 (Changsha, China).
    Download: Full Paper (SpringerLink)PDF

  36. Kuremoto, T., Obayashi, M., and Kobayashi, K., Nonlinear Prediction by Reinforcement Learning, Lecture Notes in Computer Science (LNCS), Vol.3644, pp.1085-1094, Springer-Verlag, 2005.
    Note: this paper was also included in Proceedings of the International Conference on Intelligent Computing (ICIC2005), August 23-26, 2005 (Hefei, China).
    Download: Full Paper (SpringerLink)PDF

  37. Kobayashi, K., Mizuno, S., Kuremoto, T., and Obayashi, M., A Reinforcement Learning System Based on State Space Construction Using Fuzzy ART, Proceedings of International Conference on Instrumentation, Control and Information Technology (SICE Annual Conference 2005), pp.3653-3658, August 8-10, 2005 (Okayama, Japan).
    Download: SICE05.pdfPDF

  38. Kuremoto, T., Eto, T., Kobayashi, K., and Obayashi, M., A Multi-layered Chaotic Neural Network for Associative Memory, Proceedings of International Conference on Instrumentation, Control and Information Technology (SICE Annual Conference 2005), pp.1020-1023, August 8-10, 2005 (Okayama, Japan).

  39. Nakano, K., Obayashi, M., Kobayashi, K., and Kuremoto, T., Cooperative Behavior Acquisition for Multiple Autonomous Mobile Robots, Proceedings of the 10th International Symposium on Artificial Life and Robotics (AROB2005), pp.543-546, February 4-6, 2005 (Beppu, Japan).

  40. Kogawa, N., Obayashi, M., Maeda, A., Kobayashi, K., and Kuremoto, T., Construction and Strategy of a Soccer Team by the Agent Using Immune Concept, Proceedings of the 10th International Symposium on Artificial Life and Robotics (AROB2005), pp.342-345, February 4-6, 2005 (Beppu, Japan).

  41. Kuremoto, T., Koga, K., Kobayashi, K., and Obayashi, M., Computing Slow Optical Flow by Interpolated Quadratic Surface Matching, Proceedings of the 4th IASTED International Conference on Visualization, Imaging, and Image Processing (VIIP2004), pp.346-351, September 6-8, 2004 (Marbella, Spain).

  42. Kuremoto, T., Obayashi, M., Yamamoto, A., and Kobayashi, K., Predicting Chaotic Time Series by Reinforcement Learning, Proceedings of the 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS2003), CD-ROM, December 15-18, 2003 (Singapore).

  43. Kuremoto, T., Obayashi, M., Yamamoto, A., and Kobayashi, K., Neural Prediction of Chaotic Time Series Using Stochastic Gradient Ascent Algorithm, Proceedings of the 35th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS03), pp.17-22, October 30-31, 2003 (Ube, Yamaguchi).

  44. Obayashi, M., Oda, T., Kobayashi, K., Kuremoto, T., and Kitano, H., Reinforcement Learning System with Time Varying Parameters Using Neural Network, Proceedings of the 35th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS03), pp.11-16 , October 30-31, 2003 (Ube, Yamaguchi).

  45. Umesako, K., Obayashi, M., and Kobayashi, K., Evolutionary and Time-varying Reinforcement Learning System Based on Overlap of Rules, Proceedings of 6th Japan-France Congress on Mechatronics 4th Asia-Europe Congress on Mechatronics (JFM2003), pp.202-207, September 9-12, 2003 (Hatoyama, Saitama).

  46. Umesako, K., Obayashi, M., and Kobayashi, K., Evolutionary and Time-Varying Reinforcement Learning System for Unobservable Dynamic Environment, Proceedings of the Eighth International Symposium on Artificial Life and Robotics (AROB2003), pp.82-85, January 24-26, 2003 (Oita, Japan).

  47. Umesako, K., Obayashi, M., and Kobayashi, K., Evolutionary Reinforcement Learning System with Time-Varying Parameters, Proceedings of the International Conference on Control, Automation and Systems (ICCAS2002), pp.1284-1287, October 16-19, 2002 (Jeonbuk, Korea).

  48. Kobayashi, K., Watanabe, K., and Obayashi, M., A Chaotic Memory Search Model Based on Associative Dynamics Using Features in Stored Patterns, Proceedings of 41st Society of Instrument and Control Engineering Annual Conference (SICE2002), pp.2919-2924, August 5-7, 2002 (Osaka, Japan).
    Download: SICE02.pdfPDF

  49. Umesako, K., Obayashi, M., and Kobayashi, K., Fast Reinforcement Learning Using Asymmetric Probability Density Function, Proceedings of 41st Society of Instrument and Control Engineering Annual Conference (SICE2002), pp.907-912, August 5-7, 2002 (Osaka, Japan).

  50. Umesako, K., Obayashi, M., and Kobayashi, K., Mobile Robot Control Using Self-Organized Fuzzy Reinforcement Learning System, Proceedings of International Symposium on Advanced Control of Industrial Processes (AdCONIP2002), pp.513-519, June 10-11, 2002 (Kumamoto, Japan).

  51. Obayashi, M., Yuda, K., Watanabe, K., and Kobayashi, K., Evaluation of Three Types Input-Output Functions of Chaotic Neural Network in Memory Search Problem, Proceedings of 7th International Conference on Neural Information Processing (ICONIP2000), pp.1130-1135, November 14-18, 2000 (Taejon, Korea).

  52. Watanabe, K., Obayashi, M., and Kobayashi, K., Memory Search Using Chaotic Neural Network with Feature Dynamics, Proceedings of 7th International Conference on Neural Information Processing (ICONIP2000), pp.1124-1129, November 14-18, 2000 (Taejon, Korea).

  53. Nagashima, T., Kobayashi, K., and Obayashi, M., An Effective Solution to Large-scale Traveling Salesman Problems Using Chaotic Neural Networks, Proceedings of 7th International Conference on Neural Information Processing (ICONIP2000), pp.459-464, November 14-18, 2000 (Taejon, Korea).
    Download:     ICONIP00.pdfPDF

  54. Umesako, K., Obayashi, M., and Kobayashi, K., Reinforcement Learning for Dynamic System in Incomplete Observation Environment, Proceedings of 7th International Conference on Neural Information Processing (ICONIP2000), pp.434-439, November 14-18, 2000 (Taejon, Korea).

  55. Obayashi, M. and Kobayashi, K., A New Method for Faster Neural Networks Learning Introducing Functions of Synaptic Weights, Proceedings of International Conference on Neural Information Processing (ICONIP1999), Vol.3, pp.1178-1183, November 16-20, 1999 (Perth, Australia).

  56. Obayashi, M. and Kobayashi, K., Neural Networks with Functions of Synaptic Weights and Its Application to Nonlinear System Control, Proceedings of International Conference on Systems, Man and Cybernetics (SMC1999), Vol.1, pp.472-477, October 12-15, 1999 (Tokyo, Japan).

  57. Kobayashi, K. and Ohbayashi, M., A New Indirect Encoding Method with Variable Length Gene Code to Optimize Neural Network Structures, Proceedings of 1999 International Joint Conference on Neural Networks (IJCNN1999), Vol.6, pp.4409-4412, July 10-16, 1999 (Washington D.C., USA).
    Download:     IJCNN99.pdfPDF

  58. Kobayashi, K., Introducing a Clustering Technique into Recurrent Neural Networks for Solving Large-scale Traveling Salesman Problems, Proceedings of the 8th International Conference on Artificial Neural Networks (ICANN1998), Vol.2, pp.935-940, Springer Verlag, September 2-4, 1998 (Skovde, Sweden).
    Download: ICANN98.pdfPDF

  59. Kobayashi, K. and Torioka, T., Designing Wavelet Networks Using Genetic Algorithms, Proceedings of 5th European Congress on Intelligent Techniques and Soft Computing (EUFIT1997), Vol.1, pp.429-433, Verlag Mainz, September 8-12, 1997 (Aachen, Germany).
    Download:     EUFIT97.pdfPDF

  60. Kobayashi, K. and Torioka, T., A Wavelet Neural Network for Function Approximation and Network Optimization, Proceedings of Artificial Neural Networks In Engineering (ANNIE1994), Vol.4, pp.505-510, AMSE Press, November 13-16, 1994 (St. Louis, USA).
    Note: this paper was awarded as "Best Theoretical Development" at the conference. The citation is here.
    Download:     ANNIE94.pdf (117KB)PDF

Books:

  1. Obayashi, M., Kuremoto, T., and Kobayashi, K., Intelligent Computing, Yamaguchi University, 2010 (in Japanese).

  2. Uchimura, S. and Kobayashi, K., A Textbook of Design & Engineering Practice I&II, Yamaguchi University, 2009 (in Japanese) [ISBN: 978-4-902207-04-4].

  3. Yamaguchi, S., Saeki, T., Kobayashi, K., Miyajima, K., and Koga, K., A Textbook of Information Engineering Experiment and Exercise II, Yamaguchi University, 2002 (in Japanese) [ISBN: 978-4-902207-00-1].

Chapter in books:

  1. Obayashi, M., Nakahara, N., Yamada, K., Kuremoto, T., Kobayashi, K., and Feng, L., A Robust Reinforcement Learning System using Concept of Sliding Mode Control with State Variable Filters for Unknown Nonlinear Dynamical System, In Robust Control, Theory and Applications (ed. Andrzej Bartoszewicz), Chapter 9, pp.197-214, InTech Publishing (Vienna, Austria), 2011 [ISBN: 978-953-307-229-6].
    Download: Full Paper (INTECH)PDF

  2. Obayashi, M., Narita, K., Okamoto, Y., Kuremoto, T., Kobayashi, K., and Feng, L., A Reinforcement Learning System Embedded Agent with Neural Network-Based Adaptive Hierarchical Memory Structure, In Advances in Reinforcement Learning (ed. Abdelhamid Mellou), Chapter 11, pp.189-208, InTech Publishing (Vienna, Austria), 2011 [ISBN: 978-953-307-369-9].
    Download: Full Paper (INTECH)PDF

  3. Kobayashi, K., Nakano, K., Kuremoto, T., and Obayashi, M., Objective-based Reinforcement Learning System for Cooperative Behavior Acquisition, In Application of Machine Learning (ed. Yagang Zhang), Chapter 14, pp.233-244, InTech Publishing (Vienna, Austria), 2010 [ISBN: 978-953-307-035-3].
    Download: Full Paper (INTECH)PDF

  4. Kuremoto, T., Obayashi, M., and Kobayashi, K., Neural Forecasting Systems, In Reinforcement Learning, Theory and Application (ed. Cornelius Weber, Mark Elshaw and Norbert Michael Mayer), Chapter 1, pp.1-20, InTech Publishing (Vienna, Austria), 2008 [ISBN: 978-3-902613-14-1].
    Download: Full Paper (I-Tech)PDF

  5. Kuremoto, T., Eto, T., Kobayashi, K., and Obayashi, M., A Hippocampus-Neocortex Model for Chaotic Association, In Trends in Neural Computation (Studies in Computational Intelligence) (ed. Ke Chen and Lipo Wang), Vol.35, Chapter 5, pp.111-133, Springer-Verlag (New York, USA), 2007 [ISBN: 978-3-540-36121-3].
    Download: Full Paper (SpringerLink)PDF

  6. Kobayashi, K., Self-organizing Wavelet-based Neural Networks, In Time-Frequency and Wavelets in Biomedical Signal Processing (ed. Metin Akay, IEEE Press Series on Biomedical Engineering), Part IV: Wavelets, Neural Networks, and Fractals, Chapter 28, pp.685-702, IEEE Press (Wiley-IEEE Press), 1997 [ISBN: 978-0-7803-1147-3].

Invited talk:

  1. Kobayashi, K., The Influence of Nicotine on Dynamics of AMPA and NMDA Receptors of VTA Neurons, The 1st Advanced Study Institute on Global Healthcare Challenges (ASI2010), July 15-23, 2010 (Akdeniz University, Antalya, Turkey).

Journal papers (translated in English):

  1. Kuremoto, T., Watanabe, S., Kobayashi, K., Feng, L., and Obayashi, M., The Dynamical Recollection of Interconnected Neural Networks Using Meta-heuristics, Electronics and Communications in Japan, Vol.x, No.x, pp.x-x, 2012 (to appear).
    Download: Full Paper (Willey InterScience) (to appear)

  2. Obayashi, M., Narita, K., Kobayashi, K., and Kuremoto, T., A Transient Chaotic Associative Memory Model with Temporary Stay Function, Electronics and Communications in Japan, Vol.175, No.2, pp-29-36, 2011.
    Download: Full Paper (Willey InterScience)PDF

  3. Kobayashi, K., Nakano, K., Kuremoto, T., and Obayashi, M., A State Predictor Based Reinforcement Learning System, Electronics and Communications in Japan, Vol.93, No.6, pp.8-18, 2010.
    Download: Full Paper (Willey InterScience)PDF

  4. Obayashi, M., Omiya, R., Kuremoto, T., and KKobayashi, K., Shapes of Nonmonotonic Activation Functions in a Chaotic Neural Network Associative Memory Model and Its Evaluation, Electronics and Communications in Japan, Vol.91, No.3, pp22-27, 2008.
    Download: Full Paper (Willey InterScience)PDF

  5. Umesako, K., Obayashi, M., and Kobayashi, K., Evolutionary Reinforcement Learning System with Time-varying Parameters, Electrical Engineering in Japan, Vol.156, No.1, pp.54-60, 2006.
    Download: Full Paper (Willey InterScience)PDF

  6. Kobayashi, K., Torioka, T., and Yoshida, N., A Wavelet Neural Network with Network Optimizing Function, Systems and Computers in Japan, Vol.26, No.9, pp.61-71, 1995.
    Download: Full Paper (Willey InterScience)PDF

  7. Kobayashi, K., Hara, H., and Torioka, T., Pattern Separation Function of Two-layered Random Net with Feedforward Inhibitory Connections, Systems and Computers in Japan, Vol.26, No.4, pp.42-51, 1995.
    Download: Full Paper (Willey InterScience)PDF

Proceedings of domestic conferences:

You can download the list of the papers presented at domestic conferences. Note that the list is written in Japanese.
Download: Full listPDF

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