Analysis of Learning Processes of Chaotic Time Series by Neural Networks
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概要
- 論文の詳細を見る
Study of the learning process of chaotic time series by neural networks with back-propagation algorithm showed the existence of a general learning process. The process was found to be efficiently characterized by newly defined normalized measures, the coherence and the direction-cosine for the motion of weight vectors.
- 理論物理学刊行会の論文
- 1994-02-25
著者
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Sawada Yasuji
Research Center For Electrical Communication Tohoku University
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Hondou T
Tohoku Univ. Sendai Jpn
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Hondou Tsuyoshi
Research Institute Of Electrical Communication Tohoku University
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Hondou Tsuyoshi
Graduate School Of Information Science Tohoku University
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