Presentation | 2000/12/1 A Learning Scheme of Multi-layered Neural Networks with Error Forward Propagation and Linear Multiple Regression. Kazuyuki NAGASAWA, Naohiro FUKUMURA, Yoji UNO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Many learning schemes have been proposed to acquire neural inverse models of controlled objects. Most schemes use "Back Propagation" rule to update the weights of multi-layered neural networks. "Back Propagation" rule requires teaching signals for the output layers in advance. Here we propose "Forward Propagation" scheme to acquire neural inverse models. In this scheme, error signals between desired and realized trajectories are forward propagated and are applied to estimate teaching signals for the middle and output layers. This rule corresponds to Newton-like method. Linear multiple regression, which is faster than usual steepest descent method, is available to update the weights. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Back Propagation / multi-layered neural network / Newton-like method / linear multiple regression |
Paper # | NC2000-78 |
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Committee | NC |
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Conference Date | 2000/12/1(1days) |
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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 Learning Scheme of Multi-layered Neural Networks with Error Forward Propagation and Linear Multiple Regression. |
Sub Title (in English) | |
Keyword(1) | Back Propagation |
Keyword(2) | multi-layered neural network |
Keyword(3) | Newton-like method |
Keyword(4) | linear multiple regression |
1st Author's Name | Kazuyuki NAGASAWA |
1st Author's Affiliation | Department of Information and Computer Sciences, Toyohashi University of Technology() |
2nd Author's Name | Naohiro FUKUMURA |
2nd Author's Affiliation | Department of Information and Computer Sciences, Toyohashi University of Technology |
3rd Author's Name | Yoji UNO |
3rd Author's Affiliation | Department of Information and Computer Sciences, Toyohashi University of Technology |
Date | 2000/12/1 |
Paper # | NC2000-78 |
Volume (vol) | vol.100 |
Number (no) | 490 |
Page | pp.pp.- |
#Pages | 8 |
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