フォロー
Seiya Satoh
Seiya Satoh
Tokyo Denki University, Assistant Professor
確認したメール アドレス: mail.dendai.ac.jp - ホームページ
タイトル
引用先
引用先
Fast and stable learning utilizing singular regions of multilayer perceptron
S Satoh, R Nakano
Neural processing letters 38 (2), 99-115, 2013
192013
Learning method utilizing singular region of multilayer perceptron
R Nakano, S Satoh, T Ohwaki
International Conference on Neural Computation Theory and Applications 2 …, 2011
102011
Complex-valued multilayer perceptron search utilizing singular regions of complex-valued parameter space
S Satoh, R Nakano
Artificial Neural Networks and Machine Learning–ICANN 2014: 24th …, 2014
82014
Eigen vector descent and line search for multilayer perceptron
S Satoh, R Nakano
Proc. Int. Multi-Conf. of Engineers and Comput. Scientists 1, 1-6, 2012
82012
Multilayer perceptron learning utilizing singular regions and search pruning
S Satoh, R Nakano
World Congress on Engineering and Computer Science 2, 2013
72013
Complex-valued multilayer perceptron learning using singular regions and search pruning
S Satoh, R Nakano
2015 International Joint Conference on Neural Networks (IJCNN), 1-6, 2015
62015
Incremental extraction of high-dimensional equivalence structures
S Satoh, H Yamakawa
2017 International Joint Conference on Neural Networks (IJCNN), 1518-1524, 2017
52017
A yet faster version of complex-valued multilayer perceptron learning using singular regions and search pruning
S Satoh, R Nakano
2015 7th International Joint Conference on Computational Intelligence (IJCCI …, 2015
52015
Accelerated equivalence structure extraction via pairwise incremental search
S Satoh, Y Takahashi, H Yamakawa
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
32018
A new method for learning RBF networks by utilizing singular regions
S Satoh, R Nakano
Artificial Intelligence and Soft Computing: 17th International Conference …, 2018
32018
Comparing feedforward neural networks using independent component analysis on hidden units
S Satoh, K Yamagishi, T Takahashi
Plos one 18 (8), e0290435, 2023
22023
Validation of equivalence structure incremental search
S Satoh, Y Takahashi, H Yamakawa
Frontiers in Robotics and AI 4, 63, 2017
22017
How New Information Criteria WAIC and WBIC Worked for MLP Model Selection.
S Satoh, R Nakano
ICPRAM, 105-111, 2017
22017
Mixture of Multilayer Perceptron Regressions.
R Nakano, S Satoh
ICPRAM, 509-516, 2019
12019
Further Speeding Up and Solution Quality Improvement of Singularity Stairs Following
S Satoh, R Nakano
IEICE Technical Report; IEICE Tech. Rep. 114 (515), 289-294, 2015
12015
Stable Learning Algorithm Using Reducibility for Recurrent Neural Networks
S Satoh
International Conference on Artificial Neural Networks, 127-139, 2023
2023
Bypassing combinatorial explosions in equivalence structure extraction
S Satoh, H Yamakawa
Knowledge and Information Systems 63 (10), 2621-2644, 2021
2021
Faster RBF Network Learning Utilizing Singular Regions
S Satoh, R Nakano
2019
Discovery of Corresponding Dimensions Between Multiple Multidimensional Sequences--Applications and Accelerations of Equivalence Structure Extraction
S Satoh, Y Takahashi, H Yamakawa
IEICE Technical Report; IEICE Tech. Rep. 118 (111), 67-71, 2018
2018
複数のニューラルネットワークの隠れ層出力に対する等価性構造抽出
高橋良暢, 佐藤聖也, 栗原聡, 山川宏
研究報告知能システム (ICS) 2018 (3), 1-7, 2018
2018
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