| Presentation | 1996/2/3 Direct inverse model learning by fluctuation-driven learning Hirotada FURUKAWA, Takahumi OOHORI, Kazuhisa WATANABE, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | It is not simple for a neural network(NN) to learn the inverse model of unknown target system by means of conventional back-propagation(BP) rule. The feedback system to determine teacher's signals makes the total system complicate and of large scale. We show that NN can learn the inverse model comparably easily by means of the fluctuation-driven learning(FDL) rule. The FDL rule doesn't need neither differential process nor back-propagating process. Therefore, the feedback system is extremely simple and NN can consist of both continuous and discrete neurons. Simulations for inverse models of polinomial functions demonstrate the validity of our method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | inverse model / fluctuation-driven learning rule |
| Paper # | NC95-109 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1996/2/3(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) | Direct inverse model learning by fluctuation-driven learning |
| Sub Title (in English) | |
| Keyword(1) | inverse model |
| Keyword(2) | fluctuation-driven learning rule |
| 1st Author's Name | Hirotada FURUKAWA |
| 1st Author's Affiliation | Department of Electrical Engineering, Hokkaido Institute of Technology() |
| 2nd Author's Name | Takahumi OOHORI |
| 2nd Author's Affiliation | Department of Electrical Engineering, Hokkaido Institute of Technology |
| 3rd Author's Name | Kazuhisa WATANABE |
| 3rd Author's Affiliation | Department of Electrical Engineering, Hokkaido Institute of Technology |
| Date | 1996/2/3 |
| Paper # | NC95-109 |
| Volume (vol) | vol.95 |
| Number (no) | 506 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |