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ORCIDKunikazu Kobayashi
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2020 – today
- 2020
[p2]Takashi Kuremoto, Takaomi Hirata, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu:
Search Heuristics for the Optimization of DBN for Time Series Forecasting. Deep Neural Evolution 2020: 131-152
2010 – 2019
- 2019
- [c29]Takashi Kuremoto, Hiroki Matsusaka, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi:
An Improved Fuzzy Neural Network for Reinforcement Learning. ICBDR 2019: 88-93 - 2018
- [j23]Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi:
Forecasting Real Time Series Data using Deep Belief Net and Reinforcement Learning. J. Robotics Netw. Artif. Life 4(4): 260-264 (2018) - [j22]Takashi Kuremoto, Yuki Baba, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi:
Enhancing EEG Signals Recognition Using ROC Curve. J. Robotics Netw. Artif. Life 4(4): 283-286 (2018) - 2017
- [c28]Takuo Suzuki, Marina Nakagawa, Kunikazu Kobayashi:
Eating progress estimation based on depth images for medication management support. ICAR 2017: 20-24 - 2016
- [j21]Takashi Kuremoto
, Takuhiro Otani, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu:
A hand shape instruction recognition and learning system using growing SOM with asymmetric neighborhood function. Neurocomputing 188: 31-41 (2016) - [j20]Kenta Hidaka, Takuo Suzuki, Kunikazu Kobayashi:
Improvement of Computational Efficiency of Unscented Particle Filter by Automatically Adjusting the Number of Particles. J. Robotics Netw. Artif. Life 3(2): 132-135 (2016) - [c27]Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi:
Deep Belief Network Using Reinforcement Learning and Its Applications to Time Series Forecasting. ICONIP (3) 2016: 30-37 - [c26]Takashi Kuremoto, Yuya Kuzukami, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi:
RP-AG-SOM: A Growing Self-organizing Map with Assymetric Neighborhood Function and Variable Radius. IntelliSys (1) 2016: 404-418 - 2015
- [j19]Toshiyuki Tanaka, Kunikazu Kobayashi:
Developing a Dividual Model Using a Modular Neural Network for Human-Robot Interaction. J. Robotics Netw. Artif. Life 2(1): 34-39 (2015) - [c25]Masanao Obayashi, Taiki Yamane, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi:
An Autonomous Mobile Robot with Functions of Action Learning, Memorizing, Recall and Identifying the Environment Using Gaussian Mixture Model. ICONIP (1) 2015: 272-282 - [c24]Masanao Obayashi, Shunsuke Uto, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi:
An Extended Q Learning System with Emotion State to Make Up an Agent with Individuality. IJCCI (NCTA) 2015: 70-78 - [c23]Masanao Obayashi, Shunsuke Uto, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi:
An Emotional Robot. IJCCI (Selected Papers) 2015: 423-443 - 2014
- [j18]Takashi Kuremoto, Takuhiro Otani, Shingo Mabu, Masanao Obayashi, Kunikazu Kobayashi:
One-D-R-A-G-SOM and its Application to a Hand Shape Instruction Learning System. Int. J. Networked Distributed Comput. 2(3): 166-174 (2014) - [j17]Takashi Kuremoto, Shinsuke Kimura, Kunikazu Kobayashi, Masanao Obayashi:
Time series forecasting using a deep belief network with restricted Boltzmann machines. Neurocomputing 137: 47-56 (2014) - [j16]Shun Watanabe, Takashi Kuremoto, Shingo Mabu, Masanao Obayashi, Kunikazu Kobayashi:
The Recollection Characteristics of Generalized MCNN Using Different Control Methods. J. Robotics Netw. Artif. Life 1(1): 73-79 (2014) - [j15]Masanori Kawamura, Kunikazu Kobayashi:
An Action Selection Method Using Degree of Cooperation in a Multi-agent Reinforcement Learning System. J. Robotics Netw. Artif. Life 1(3): 231-236 (2014) - [c22]Takashi Kuremoto, Takuhiro Otani, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu:
A Hand Shape Instruction Recognition and Learning System Using Growing SOM with Asymmetric Neighborhood Function. ICIC (1) 2014: 269-276 - [c21]Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu:
How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning Systems. ICSI (1) 2014: 324-331 - [c20]Yuji Nunome, Kazuhito Murakami, Masahide Ito, Kunikazu Kobayashi, Tadashi Naruse:
A Method to Estimate Ball's State of Spin by Image Processing for Improving Strategies in the RoboCup Small-Size-Robot League. RoboCup 2014: 514-524 - [c19]Takashi Kuremoto, Takuhiro Otani, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu:
One dimensional ring type growing SOM with asymmetric neighborhood function and its application to a hand shape instruction learning system. SNPD 2014: 1-6 - 2013
- [j14]Shun Watanabe, Takashi Kuremoto, Kunikazu Kobayashi, Masanao Obayashi:
A method for analyzing the spatiotemporal changes of chaotic neural networks. Artif. Life Robotics 18(3-4): 196-203 (2013) - [j13]Takashi Kuremoto, Yasuhiro Kinoshita, Liang-Bing Feng, Shun Watanabe, Kunikazu Kobayashi, Masanao Obayashi:
A gesture recognition system with retina-V1 model and one-pass dynamic programming. Neurocomputing 116: 291-300 (2013) - [j12]Takashi Kuremoto, Tetsuya Tsurusaki, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi:
An Improved Reinforcement Learning System Using Affective Factors. Robotics 2(3): 149-164 (2013) - [c18]Takashi Kuremoto, Tetsuya Tsurusaki, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi:
A Model of Emotional Intelligent Agent for Cooperative Goal Exploration. ICIC (1) 2013: 21-30 - [c17]Kotaro Yasui, Kunikazu Kobayashi, Kazuhito Murakami, Tadashi Naruse:
Analyzing and Learning an Opponent's Strategies in the RoboCup Small Size League. RoboCup 2013: 159-170 - [c16]Masanao Obayashi, Takuya Kamikariya, Shogo Uchiyama, Shogo Watada, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi:
Adaptive Control System Based on Self-Organizing Wavelet Neural Network with H8 Tracking Performance Compensator. SMC 2013: 3232-3237 - 2012
- [j11]Masanao Obayashi, Shinnosuke Koga, Liang-Bing Feng, Takashi Kuremoto, Kunikazu Kobayashi:
Handwriting character classification using Freeman's olfactory KIII model. Artif. Life Robotics 17(2): 227-232 (2012) - [c15]Takashi Kuremoto, Shinsuke Kimura, Kunikazu Kobayashi, Masanao Obayashi:
Time Series Forecasting Using Restricted Boltzmann Machine. ICIC (3) 2012: 17-22 - [c14]Kunikazu Kobayashi, Tadashi Kurano, Takashi Kuremoto, Masanao Obayashi:
Cooperative Behavior Acquisition in Multi-agent Reinforcement Learning System Using Attention Degree. ICONIP (3) 2012: 537-544 - [c13]Masanao Obayashi, Takahiro Takuno, Takashi Kuremoto, Kunikazu Kobayashi:
An emotional model embedded reinforcement learning system. SMC 2012: 1058-1063 - 2011
- [j10]Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Liang-Bing Feng:
An Improved Internal Model of Autonomous Robots by a Psychological Approach. Cogn. Comput. 3(4): 501-509 (2011) - [c12]Takashi Kuremoto, Yasuhiro Kinoshita, Liang-Bing Feng, Shun Watanabe, Kunikazu Kobayashi, Masanao Obayashi:
A Gesture Recognition System Using One-Pass DP Method. ICIC (2) 2011: 581-587 - [c11]Kunikazu Kobayashi, Ryu Kanehira, Takashi Kuremoto, Masanao Obayashi:
An Action Selection Method Based on Estimation of Other's Intention in Time-Varying Multi-agent Environments. ICONIP (3) 2011: 76-85 - 2010
- [j9]Masanao Obayashi, Liang-Bing Feng, Takashi Kuremoto, Kunikazu Kobayashi:
Intelligent agent construction using the attentive characteristic patterns of chaotic neural networks. Artif. Life Robotics 15(2): 216-220 (2010) - [j8]Takashi Kuremoto, Takahito Komoto, Kunikazu Kobayashi, Masanao Obayashi:
Parameterless-Growing-SOM and Its Application to a Voice Instruction Learning System. J. Robotics 2010: 307293:1-307293:9 (2010) - [c10]Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Liang-Bing Feng:
Autonomic Behaviors of Swarm Robots Driven by Emotion and Curiosity. LSMS/ICSEE 2010: 541-547
2000 – 2009
- 2009
- [j7]Takashi Kuremoto, Tomonori Ohta, Kunikazu Kobayashi, Masanao Obayashi:
A dynamic associative memory system by adopting an amygdala model. Artif. Life Robotics 13(2): 478-482 (2009) - [j6]Masanao Obayashi, N. Nakahara, Takashi Kuremoto, Kunikazu Kobayashi:
A robust reinforcement learning using the concept of sliding mode control. Artif. Life Robotics 13(2): 526-530 (2009) - [j5]Nagahisa Kogawa, Masanao Obayashi, Kunikazu Kobayashi, Takashi Kuremoto:
A reinforcement learning method based on an immune network adapted to a semi-Markov decision process. Artif. Life Robotics 13(2): 538-542 (2009) - [j4]Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi:
Adaptive swarm behavior acquisition by a neuro-fuzzy system and reinforcement learning algorithm. Int. J. Intell. Comput. Cybern. 2(4): 724-744 (2009) - [j3]Takashi Kuremoto, Yuki Yamano, Masanao Obayashi, Kunikazu Kobayashi:
An Improved Internal Model for Swarm Formation and Adaptive Swarm Behavior Acquisition. J. Circuits Syst. Comput. 18(8): 1517-1531 (2009) - [c9]Takashi Kuremoto, Tomonori Ohta, Kunikazu Kobayashi, Masanao Obayashi:
A Functional Model of Limbic System of Brain. Brain Informatics 2009: 135-146 - [c8]Kunikazu Kobayashi, Hiroyuki Mizoue, Takashi Kuremoto, Masanao Obayashi:
A Meta-learning Method Based on Temporal Difference Error. ICONIP (1) 2009: 530-537 - 2008
- [c7]Masanao Obayashi, Takashi Kuremoto, Kunikazu Kobayashi:
A Self-Organized Fuzzy-Neuro Reinforcement Learning System for Continuous State Space for Autonomous Robots. CIMCA/IAWTIC/ISE 2008: 551-556 - [c6]Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Hirotaka Adachi, Kentaro Yoneda:
A Neuro-fuzzy Learning System for Adaptive Swarm Behaviors Dealing with Continuous State Space. ICIC (2) 2008: 675-683 - [c5]Kunikazu Kobayashi, Masanao Obayashi, Takashi Kuremoto:
A Bayesian Local Linear Wavelet Neural Network. ICONIP (2) 2008: 147-154 - [c4]Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Hirotaka Adachi, Kentaro Yoneda:
A reinforcement learning system for swarm behaviors. IJCNN 2008: 3711-3716 - 2007
- [p1]Takashi Kuremoto, Tsuyoshi Eto, Kunikazu Kobayashi, Masanao Obayashi:
A Hippocampus-Neocortex Model for Chaotic Association. Trends in Neural Computation 2007: 111-133 - 2005
- [c3]Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi:
Nonlinear Prediction by Reinforcement Learning. ICIC (1) 2005: 1085-1094 - [c2]Takashi Kuremoto, Tsuyoshi Eto, Kunikazu Kobayashi, Masanao Obayashi:
A Chaotic Model of Hippocampus-Neocortex. ICNC (1) 2005: 439-448
1990 – 1999
- 1999
- [c1]Kunikazu Kobayashi, Masanao Ohbayashi:
A new indirect encoding method with variable length gene code to optimize neural network structures. IJCNN 1999: 4409-4412 - 1995
- [j2]Kunikazu Kobayashi, Toyoshi Torioka, Hajime Hara:
Pattern separation function of two-layered random net with feedforward inhibitory connections. Syst. Comput. Jpn. 26(4): 42-51 (1995) - 1994
- [j1]Kunikazu Kobayashi, Toyoshi Torioka, Nobuhiko Ikeda:
Fundamental consideration on self-formation of recognition cells. Neural Networks 7(8): 1241-1252 (1994)
Coauthor Index
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