Presentation | 1999/7/19 A geometrical consideration on the gradient descent learning of multilayer perceptron Katsuyuki HAGIWARA, Kazuhiro KUNO, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Although the gradient descent learning is the most basic and the simplest learning rule, it is not well-known the behaviour for multilayer perceptron as indicated by the existence of problems such as the ravine of error surface, premature saturation/flat spot problem and symmetric phase/plateau. In this article, first, we gave a geometrical interpretation of the gradient descent learning of multilayer perceptron whose activation function in the output layer is linear function. Based on the interpretation, we considered the case in which the training is not properly performed because of the unbalance between the adjustments of input weight and output weight. To overcome this problem, we gave a simple modification of the ordinal learning rule. The justification of our consideration was shown in the numerical experiments. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | multilayer perceptron / gradient descent learning / linear parameter / nonlinear parameter / linear least squares estimators |
Paper # | NC99-38 |
Date of Issue |
Conference Information | |
Committee | NC |
---|---|
Conference Date | 1999/7/19(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
Secretary | |
Assistant |
Paper Information | |
Registration To | Neurocomputing (NC) |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A geometrical consideration on the gradient descent learning of multilayer perceptron |
Sub Title (in English) | |
Keyword(1) | multilayer perceptron |
Keyword(2) | gradient descent learning |
Keyword(3) | linear parameter |
Keyword(4) | nonlinear parameter |
Keyword(5) | linear least squares estimators |
1st Author's Name | Katsuyuki HAGIWARA |
1st Author's Affiliation | Faculty of Physics Engineering, Mie University() |
2nd Author's Name | Kazuhiro KUNO |
2nd Author's Affiliation | Faculty of Physics Engineering, Mie University |
Date | 1999/7/19 |
Paper # | NC99-38 |
Volume (vol) | vol.99 |
Number (no) | 193 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |