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Kunikazu Kobayashi
Kunikazu Kobayashi
Professor at Aichi Prefectural University and Vice President at RING
Verified email at ist.aichi-pu.ac.jp - Homepage
Title
Cited by
Cited by
Year
Time series forecasting using a deep belief network with restricted Boltzmann machines
T Kuremoto, S Kimura, K Kobayashi, M Obayashi
Neurocomputing 137, 47-56, 2014
6042014
Band bending and surface defects in β-Ga2O3
TC Lovejoy, R Chen, X Zheng, EG Villora, K Shimamura, H Yoshikawa, ...
Applied Physics Letters 100 (18), 2012
1122012
Time series forecasting using restricted Boltzmann machine
T Kuremoto, S Kimura, K Kobayashi, M Obayashi
Emerging Intelligent Computing Technology and Applications: 8th …, 2012
572012
Time series prediction using DBN and ARIMA
T Hirata, T Kuremoto, M Obayashi, S Mabu, K Kobayashi
2015 International Conference on Computer Application Technologies, 24-29, 2015
542015
HVJ-liposome-mediated transfection of HSVtk gene driven by AFP promoter inhibits hepatic tumor growth of hepatocellular carcinoma in SCID mice
T Hirano, S Kaneko, Y Kaneda, I Saito, T Tamaoki, J Furuyama, ...
Gene therapy 8 (1), 80-83, 2001
472001
Forecast chaotic time series data by DBNs
T Kuremoto, M Obayashi, K Kobayashi, T Hirata, S Mabu
2014 7th International Congress on Image and Signal Processing, 1130-1135, 2014
432014
A wavelet neural network for function approximation and network optimization
K Kobayashi, T Torioka
Proceedings of ANNIE’94, AMSE Press, 505-510, 1994
231994
Nonlinear prediction by reinforcement learning
T Kuremoto, M Obayashi, K Kobayashi
Advances in Intelligent Computing: International Conference on Intelligent …, 2005
222005
Analyzing and learning an opponent’s strategies in the RoboCup small size league
K Yasui, K Kobayashi, K Murakami, T Naruse
RoboCup 2013: Robot World Cup XVII 17, 159-170, 2014
212014
Parameterless‐Growing‐SOM and Its Application to a Voice Instruction Learning System
T Kuremoto, T Komoto, K Kobayashi, M Obayashi
Journal of Robotics 2010 (1), 307293, 2010
212010
Adaptive swarm behavior acquisition by a neuro‐fuzzy system and reinforcement learning algorithm
T Kuremoto, M Obayashi, K Kobayashi
International Journal of Intelligent Computing and Cybernetics 2 (4), 724-744, 2009
212009
A reinforcement learning system for swarm behaviors
T Kuremoto, M Obayashi, K Kobayashi, H Adachi, K Yoneda
2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008
202008
A learning fuzzy Petri net model
L Feng, M Obayashi, T Kuremoto, K Kobayashi
IEEJ transactions on electrical and electronic engineering 7 (3), 274-282, 2012
182012
A functional model of limbic system of brain
T Kuremoto, T Ohta, K Kobayashi, M Obayashi
International Conference on Brain Informatics, 135-146, 2009
172009
A dynamic associative memory system by adopting an amygdala model
T Kuremoto, T Ohta, K Kobayashi, M Obayashi
Artificial Life and robotics 13, 478-482, 2009
172009
A meta-learning method based on temporal difference error
K Kobayashi, H Mizoue, T Kuremoto, M Obayashi
Neural Information Processing: 16th International Conference, ICONIP 2009 …, 2009
172009
Cooperative behavior acquisition in multi-agent reinforcement learning system using attention degree
K Kobayashi, T Kurano, T Kuremoto, M Obayashi
Neural Information Processing: 19th International Conference, ICONIP 2012 …, 2012
162012
A gesture recognition system with retina-V1 model and one-pass dynamic programming
T Kuremoto, Y Kinoshita, L Feng, S Watanabe, K Kobayashi, M Obayashi
Neurocomputing 116, 291-300, 2013
152013
A self-organized fuzzy-neuro reinforcement learning system for continuous state space for autonomous robots
M Obayashi, T Kuremoto, K Kobayashi
2008 International Conference on Computational Intelligence for Modelling …, 2008
152008
Neural forecasting systems
T Kuremoto, M Obayashi, K Kobayashi
Reinforcement Learning, 2008
152008
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Articles 1–20