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Satoshi Matsuda
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2010 – 2019
- 2019
- [e1]Danny Sutanto, Christopher Chao, Masayuki Morimoto, Frank Gunzer, Muhammad Aziz, Seonghwan Yoon, Satoshi Matsuda:
Proceedings of the 8th International Conference on Informatics, Environment, Energy and Applications, IEEA 2019, Osaka, Japan. ACM 2019, ISBN 978-1-4503-6104-0 [contents] - 2016
- [c16]Satoshi Matsuda:
BPSpike II: A New Backpropagation Learning Algorithm for Spiking Neural Networks. ICONIP (2) 2016: 56-65 - [c15]Satoshi Matsuda:
BPSpike: A backpropagation learning for all parameters in spiking neural networks with multiple layers and multiple spikes. IJCNN 2016: 293-298 - 2013
- [j9]Ammar Mohemmed, Stefan Schliebs, Satoshi Matsuda, Nikola K. Kasabov:
Training spiking neural networks to associate spatio-temporal input-output spike patterns. Neurocomputing 107: 3-10 (2013) - 2012
- [j8]Ammar Mohemmed, Stefan Schliebs, Satoshi Matsuda, Nikola K. Kasabov:
Span: Spike Pattern Association Neuron for Learning Spatio-Temporal Spike Patterns. Int. J. Neural Syst. 22(4) (2012) - 2011
- [c14]Ammar Mohemmed, Stefan Schliebs, Satoshi Matsuda, Nikola K. Kasabov:
Method for Training a Spiking Neuron to Associate Input-Output Spike Trains. EANN/AIAI (1) 2011: 219-228 - [c13]Ammar Mohemmed, Satoshi Matsuda, Stefan Schliebs, Kshitij Dhoble, Nikola K. Kasabov:
Optimization of Spiking Neural Networks with dynamic synapses for spike sequence generation using PSO. IJCNN 2011: 2969-2974 - 2010
- [c12]Takahiro Takahashi, Satoshi Matsuda:
Adaptive elevator dispatching with co-neuroevolution. IEEE Congress on Evolutionary Computation 2010: 1-6 - [c11]Kairi Miyazaki, Satoshi Matsuda:
Robot planning by cooperation of Hopfield networks - A case of Warehouse Keeper Puzzle (sokoban) -. IJCNN 2010: 1-6 - [c10]Motohiro Saiki, Satoshi Matsuda:
Evolutionary neural network model of universal grammar. IJCNN 2010: 1-5
2000 – 2009
- 2006
- [c9]Satoshi Matsuda:
A Neural Network Model for the Decision-Making Process Based on ANP. IJCNN 2006: 1421-1426 - 2001
- [j7]Satoshi Matsuda:
Theoretical limitations of a Hopfield network for crossbar switching. IEEE Trans. Neural Networks 12(3): 456-462 (2001) - [c8]Akihiko Fukada, Satoshi Matsuda, Hiromi Okada:
Multi-hop control scheme on Vehicular Information BROadcasting Relay (VIBROR). VTC Fall 2001: 159-163 - 2000
- [c7]Satoshi Matsuda:
Theoretical Considerations on the Dynamics of Hysteresis Binary Hopfield Networks for Combinatorial Optimization. IJCNN (6) 2000: 480-485
1990 – 1999
- 1999
- [j6]Satoshi Matsuda:
Quantized Hopfield networks for integer programming. Syst. Comput. Jpn. 30(6): 1-12 (1999) - [c6]Satoshi Matsuda:
"Optimal" neural representation of higher order for quadratic combinatorial optimization. IJCNN 1999: 337-340 - [c5]Satoshi Matsuda:
Theoretical analysis of quantized Hopfield network for integer programming. IJCNN 1999: 568-571 - 1998
- [j5]Satoshi Matsuda:
Guaranteeing efficiency and safety of a Hopfield network for crossbar switching. Syst. Comput. Jpn. 29(7): 1-11 (1998) - [j4]Satoshi Matsuda:
"Optimal" Hopfield network for combinatorial optimization with linear cost function. IEEE Trans. Neural Networks 9(6): 1319-1330 (1998) - 1996
- [j3]Satoshi Matsuda:
Set-theoretic comparison of mappings of combinatorial optimization problems to hopfield neural networks. Syst. Comput. Jpn. 27(6): 45-59 (1996) - [c4]Satoshi Matsuda:
Distribution of asymptotically stable states in Hopfield network for TSP. ICNN 1996: 529-531 - [c3]Satoshi Matsuda:
Guaranteeing crossbar switching by Hopfield network efficient and fail-safe. ICNN 1996: 1334-1339 - 1995
- [j2]Satoshi Matsuda:
Stability of solutions in hopfield neural network. Syst. Comput. Jpn. 26(5): 67-78 (1995) - [c2]Satoshi Matsuda:
Theoretical considerations on the capabilities of crossbar switching by Hopfield networks. ICNN 1995: 1107-1110 - [c1]Satoshi Matsuda:
Theoretical comparison of mappings of combinatorial optimization problems to Hopfield networks. ICNN 1995: 1674-1677
1980 – 1989
- 1988
- [j1]Hideo Tanaka, Satoshi Matsuda, Hiromi Ogi, Yoshio Izui, Hisao Taoka, Toshiaki Sakaguchi:
Redundant coding for fault tolerant computing on Hopfield network. Neural Networks 1(Supplement-1): 141-142 (1988)
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