Presentation | 1996/3/18 An Autonomously Controlled Chaos Neural Network Masahiro NAKAGAWA, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper we shall propose a simple chaos neural network model applied to autonomous chaotic wandering and the autoassociation models. The present artificial neuron model is properly characterized in terms of a sinusoidal activation function to involve a chaotic dynamics as well as all autonomous control of the period. It is elucidated that the present neural network has an ability of the dynamic memory retrievals beyond the conventional chaotic model with such a monotonous mapping as a sigmoid function. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Chaos / periodic mapping / autonomous control |
Paper # | NC-95-124 |
Date of Issue |
Conference Information | |
Committee | NC |
---|---|
Conference Date | 1996/3/18(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
Secretary | |
Assistant |
Paper Information | |
Registration To | Neurocomputing (NC) |
---|---|
Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Autonomously Controlled Chaos Neural Network |
Sub Title (in English) | |
Keyword(1) | Chaos |
Keyword(2) | periodic mapping |
Keyword(3) | autonomous control |
1st Author's Name | Masahiro NAKAGAWA |
1st Author's Affiliation | Department of Electrical Engineering, Faculty of Engineering, Nagaoka University of Technology() |
Date | 1996/3/18 |
Paper # | NC-95-124 |
Volume (vol) | vol.95 |
Number (no) | 598 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |