| Presentation | 1997/3/18 A Modular Neural Network using Fuzzy Competitive Learning Hirotsugu Kikuakawa, Takashi Nagano, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this study, We Propose a new modular neural network using FCL(Fuzzy Competitive Learning). The FCL makes a gating network give an appropriate space division independently of the learning of expert's modules. Morever we propose the pruning algorithm to determine appropriate architecture of the model. This algorithm makes the model obtain minimum number of expert networks and the maximum performance, because its procedure estimates the contribution ratio of each expert network and then if a contribution ratio is less than an estimation criterion, it is pruned from the whole network. The performance of the network was examined by computer simulations. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | FCL / a modular neural network / pruning algorithm |
| Paper # | NC96-159 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1997/3/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Modular Neural Network using Fuzzy Competitive Learning |
| Sub Title (in English) | |
| Keyword(1) | FCL |
| Keyword(2) | a modular neural network |
| Keyword(3) | pruning algorithm |
| 1st Author's Name | Hirotsugu Kikuakawa |
| 1st Author's Affiliation | Department of Industrial and System Engineering,College of Engineering,Hosei University() |
| 2nd Author's Name | Takashi Nagano |
| 2nd Author's Affiliation | Department of Industrial and System Engineering,College of Engineering,Hosei University |
| Date | 1997/3/18 |
| Paper # | NC96-159 |
| Volume (vol) | vol.96 |
| Number (no) | 584 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |