| Presentation | 1994/5/20 Learning of chaos by nueral network and its bifurcation phenomena Itaru Nagayama, Norio Akamatsu, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper,we show that the neural network can easily learn the chaos by Elman type recurrent architecture.The network is four layered feedback network(FFBN).The FFBN does not require any specific modification about learning algorithm and network dynamics.Also we show that the chaotic sequence of the FFBN can be controled by changing a network parameter.We indicate the bifurcation diagram of the FFBN which exhibits chaotic features. Furthermore,we show that Feigenbaum number is found in FFBN. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | neural network / chaos / feedback / bifurcation / Feigenbaum number |
| Paper # | NLP94-15 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 1994/5/20(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Learning of chaos by nueral network and its bifurcation phenomena |
| Sub Title (in English) | |
| Keyword(1) | neural network |
| Keyword(2) | chaos |
| Keyword(3) | feedback |
| Keyword(4) | bifurcation |
| Keyword(5) | Feigenbaum number |
| 1st Author's Name | Itaru Nagayama |
| 1st Author's Affiliation | Department of Information science,Faculty of Engineering, University of Tokushima() |
| 2nd Author's Name | Norio Akamatsu |
| 2nd Author's Affiliation | Department of Information science,Faculty of Engineering, University of Tokushima |
| Date | 1994/5/20 |
| Paper # | NLP94-15 |
| Volume (vol) | vol.94 |
| Number (no) | 45 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |