Presentation | 1994/6/17 Learning on perceptron:Neuton′s method based on improved second-or der back-propagation Takae Ohta, Yoshiaki Kawamura, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | If Neuton′s method is applied for each layer of a neural network ,the excellent convergence property is usually lost.An improved method is proposed in this paper in whcih collections of the back- propagation caculation are made according to the weight change of other layers.The backpropagation formula of the first and second sensitivity function is derived.It is shown by numerical simulation for the XOR problem and the 3 bit parity problem that correct networks are obtained by the improved method within about 10 trials of learning without fail. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | neural networks / perceptron / back-propagation / Neuton′s meth od / sensitivity |
Paper # | NLP94-32 |
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Conference Information | |
Committee | NLP |
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Conference Date | 1994/6/17(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) | Learning on perceptron:Neuton′s method based on improved second-or der back-propagation |
Sub Title (in English) | |
Keyword(1) | neural networks |
Keyword(2) | perceptron |
Keyword(3) | back-propagation |
Keyword(4) | Neuton′s meth od |
Keyword(5) | sensitivity |
1st Author's Name | Takae Ohta |
1st Author's Affiliation | College of Engineering,University of Osaka Prefecture() |
2nd Author's Name | Yoshiaki Kawamura |
2nd Author's Affiliation | College of Engineering,University of Osaka Prefecture |
Date | 1994/6/17 |
Paper # | NLP94-32 |
Volume (vol) | vol.94 |
Number (no) | 98 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |