講演名 | 2009-01-22 On the Memory Capacity and Invariant Measure of Chaos Associative Models , |
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抄録(和) | |
抄録(英) | In this paper, the memory capacity of the autoassociative model is investigated on the basis of the statistical neuronic approach to explore the advantage the present chaos neuron model with the sinusoidal activation function. In practice the Frobenius-Perron equations for a few chaos neurons are solved by means of the Fourier expansion scheme in order to derive the invariant measure. To explore the importance of the symmetry of the invariant measure, i.e. chaos neuron dynamics previously proposed, the simultaneous linear characteristic equation for the expansion coefficients will be numerically evaluated. It is also concluded that the symmetry of the invariant measure, which is found to be different for each chaos neurons, may be closely related to the ability of the chaos neurons applied to the practical applications with the neural networks, e.g. associative memory and learning model etc. |
キーワード(和) | |
キーワード(英) | Invariant Measure / Periodic Chaos Neurons / Association Model / Memory Capacity |
資料番号 | CAS2008-71,NLP2008-101 |
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研究会情報 | |
研究会 | NLP |
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開催期間 | 2009/1/15(から1日開催) |
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委員長氏名(和) | |
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幹事氏名(和) | |
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幹事補佐氏名(和) | |
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講演論文情報詳細 | |
申込み研究会 | Nonlinear Problems (NLP) |
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本文の言語 | ENG |
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サブタイトル(和) | |
タイトル(英) | On the Memory Capacity and Invariant Measure of Chaos Associative Models |
サブタイトル(和) | |
キーワード(1)(和/英) | / Invariant Measure |
第 1 著者 氏名(和/英) | / Masahiro NAKAGAWA |
第 1 著者 所属(和/英) | Nagaoka University of Technology |
発表年月日 | 2009-01-22 |
資料番号 | CAS2008-71,NLP2008-101 |
巻番号(vol) | vol.108 |
号番号(no) | 389 |
ページ範囲 | pp.- |
ページ数 | 6 |
発行日 |