Presentation | 1999/9/22 The Self-Feedback Controlled Chaotic Neural Network and its Application to the Multi-Layer Channel Routing Masaya OHTA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The chaotic neural network has a characteristic of escape from a local minimal point of the energy function, so that it can find a global minimal point easier than by the Hopfield model. However it is sometime difficult to escape by the chaotic behavior. To overcome it, the self-feedback controlled Chaotic Neural Network is proposed. The proposed system can perceive to be caught in a local minimal point and escape from it by reinforcing its own self-feedback connection autonomously. To confirm the effectiveness of the proposed system, it is applied to the multi-layer channel routing problem. It is confirmed from experimental results that although an iteration steps to get the optimal solution increases, a frequency to get the optimal solution is vastly improved. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | chaos / neural network / negative self-feedback / multi-layer channel routing problem / local minimum |
Paper # | NLP99-101 |
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Conference Information | |
Committee | NLP |
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Conference Date | 1999/9/22(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) | The Self-Feedback Controlled Chaotic Neural Network and its Application to the Multi-Layer Channel Routing |
Sub Title (in English) | |
Keyword(1) | chaos |
Keyword(2) | neural network |
Keyword(3) | negative self-feedback |
Keyword(4) | multi-layer channel routing problem |
Keyword(5) | local minimum |
1st Author's Name | Masaya OHTA |
1st Author's Affiliation | Osaka Electro-Communication University() |
Date | 1999/9/22 |
Paper # | NLP99-101 |
Volume (vol) | vol.99 |
Number (no) | 324 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |