Fast and stable learning utilizing singular regions of multilayer perceptron S Satoh, R Nakano Neural processing letters 38 (2), 99-115, 2013 | 19 | 2013 |
Learning method utilizing singular region of multilayer perceptron R Nakano, S Satoh, T Ohwaki International Conference on Neural Computation Theory and Applications 2 …, 2011 | 10 | 2011 |
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 | 8 | 2014 |
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 | 8 | 2012 |
Multilayer perceptron learning utilizing singular regions and search pruning S Satoh, R Nakano World Congress on Engineering and Computer Science 2, 2013 | 7 | 2013 |
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 | 6 | 2015 |
Incremental extraction of high-dimensional equivalence structures S Satoh, H Yamakawa 2017 International Joint Conference on Neural Networks (IJCNN), 1518-1524, 2017 | 5 | 2017 |
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 | 5 | 2015 |
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 | 3 | 2018 |
A new method for learning RBF networks by utilizing singular regions S Satoh, R Nakano Artificial Intelligence and Soft Computing: 17th International Conference …, 2018 | 3 | 2018 |
Comparing feedforward neural networks using independent component analysis on hidden units S Satoh, K Yamagishi, T Takahashi Plos one 18 (8), e0290435, 2023 | 2 | 2023 |
Validation of equivalence structure incremental search S Satoh, Y Takahashi, H Yamakawa Frontiers in Robotics and AI 4, 63, 2017 | 2 | 2017 |
How New Information Criteria WAIC and WBIC Worked for MLP Model Selection. S Satoh, R Nakano ICPRAM, 105-111, 2017 | 2 | 2017 |
Mixture of Multilayer Perceptron Regressions. R Nakano, S Satoh ICPRAM, 509-516, 2019 | 1 | 2019 |
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 | 1 | 2015 |
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 |