| Presentation | 2002/6/21 Behavior control of an autonomous agent using Flexibly Connected Neural Network Kazuko TAZAWA, Tomoharu NAGAO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In general, the structure of neural network, such as the layered type or the mutually connected type, etc., is chosen as to the problem. And weights and thresholds of neural network are usually adjusted by the learning method corresponding to the structure. Some given problems, however, cannot be always solved by the neural network of the structure decided beforehand. And it is also difficult for the neural network of the basic structure to process complex information like our brains. Here we present Flexibly Connected Neural Network as a method of constructing arbitrary neural network with optimized the structure and parameters to solve unknown problems. In order to examine the effectiveness, we applied the proposed method to behavior control of an autonomous agent with perceptual aliasing, and analyzed the acquired neural network. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | neural network / genetic algorithm / autonomous agent / behavior control |
| Paper # | PRMU2002-43 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2002/6/21(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Behavior control of an autonomous agent using Flexibly Connected Neural Network |
| Sub Title (in English) | |
| Keyword(1) | neural network |
| Keyword(2) | genetic algorithm |
| Keyword(3) | autonomous agent |
| Keyword(4) | behavior control |
| 1st Author's Name | Kazuko TAZAWA |
| 1st Author's Affiliation | Graduate School of Environment and Information Sciences, Yokohama National University() |
| 2nd Author's Name | Tomoharu NAGAO |
| 2nd Author's Affiliation | Graduate School of Environment and Information Sciences, Yokohama National University |
| Date | 2002/6/21 |
| Paper # | PRMU2002-43 |
| Volume (vol) | vol.102 |
| Number (no) | 156 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |