| Presentation | 1995/11/17 CONSTRUCTIVE FUNCTION-APPROXIMATIONS BY THREE-LAYER ARTIFICIAL NEURAL NETWORKS AND SATURATIONS OF THE APPROXIMATIONS Shin SUZUKI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper presents constructive function-approximations by three-layer artificial neural networks with (1) trigonometric, (2) piecewise linear, and (3) sigmoidal hidden-layer units. The approximations provide (a) approximating-network equations, (b) specifications for the numbers of hidden-layer units, (c) approximation error estimations, and (d) saturations of the approximations. These results can easily be applied to non-periodic functions defined on a bounded subset. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Artificial neural networks / Function approximation / Network equation / Number of hidden-layer units / Estimation of approximation error / Saturation of approximation |
| Paper # | NLP95-71 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 1995/11/17(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) | CONSTRUCTIVE FUNCTION-APPROXIMATIONS BY THREE-LAYER ARTIFICIAL NEURAL NETWORKS AND SATURATIONS OF THE APPROXIMATIONS |
| Sub Title (in English) | |
| Keyword(1) | Artificial neural networks |
| Keyword(2) | Function approximation |
| Keyword(3) | Network equation |
| Keyword(4) | Number of hidden-layer units |
| Keyword(5) | Estimation of approximation error |
| Keyword(6) | Saturation of approximation |
| 1st Author's Name | Shin SUZUKI |
| 1st Author's Affiliation | NTT Basic Research Laboratories() |
| Date | 1995/11/17 |
| Paper # | NLP95-71 |
| Volume (vol) | vol.95 |
| Number (no) | 368 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |