Presentation | 2010-10-28 Weight Vector Similarity of Affordable Neural Network by Learning Process Yoko UWATE, Yoshifumi NISHIO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We have recently proposed a novel neural network structure called an "Affordable Neural Network" (AfNN), in which affordable neurons of the hidden layer are considered as cell assembly function observed in human brain function. We have confirmed that the AfNN gains good performance both of the generalization ability and the learning ability. Furthermore, the AfNN has durability, because the AfNN still performs well even if some of neurons in the hidden layer are damaged after learning process. In this study, we study the characteristics of weights of the AfNN during the learning process to make clear the reason of that the AfNNs can perform well for learning and generalization abilities and operate as usually against damaging neurons. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Affordable Neural Network / Vector Similarity / Backpropagation Learning / Pattern Recognition |
Paper # | NLP2010-90 |
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Conference Information | |
Committee | NLP |
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Conference Date | 2010/10/21(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Weight Vector Similarity of Affordable Neural Network by Learning Process |
Sub Title (in English) | |
Keyword(1) | Affordable Neural Network |
Keyword(2) | Vector Similarity |
Keyword(3) | Backpropagation Learning |
Keyword(4) | Pattern Recognition |
1st Author's Name | Yoko UWATE |
1st Author's Affiliation | Tokushima University() |
2nd Author's Name | Yoshifumi NISHIO |
2nd Author's Affiliation | Tokushima University |
Date | 2010-10-28 |
Paper # | NLP2010-90 |
Volume (vol) | vol.110 |
Number (no) | 255 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |