Presentation | 2012-04-19 Performance of Feed-Forward Neural Network with Neurogenesis Yuta YOKOYAMA, Hironori KUMENO, Yoko UWATE, Yoshifumi NISHIO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The neurogenesis is that new neurons are generated in the human brain. It is known that the neurogenesis improves memory and thinking ability by combining new neurons with biological neural network. We consider that the neurogenesis can be applied to an artificial neural network. In this study, we adapt the neurogenesis to a Multi-Layer Perceptron (MLP). We propose the introduction method as periodic and chaotic of MLP with neurogenesis. We compare the performance of the MLP with neurogenesis to the conventional MLP for approximation of function and pattern recognition. We show the MLP with neurogenesis has better performance than the conventional MLP by computer simulations. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Neurogenesis / Multi-Layer Perceptron / Pattern Recognition |
Paper # | NLP2012-7 |
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Committee | NLP |
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Conference Date | 2012/4/12(1days) |
Place (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) | Performance of Feed-Forward Neural Network with Neurogenesis |
Sub Title (in English) | |
Keyword(1) | Neurogenesis |
Keyword(2) | Multi-Layer Perceptron |
Keyword(3) | Pattern Recognition |
1st Author's Name | Yuta YOKOYAMA |
1st Author's Affiliation | Department of Electrical and Electronic Engineering, Tokushima University() |
2nd Author's Name | Hironori KUMENO |
2nd Author's Affiliation | Department of Electrical and Electronic Engineering, Tokushima University |
3rd Author's Name | Yoko UWATE |
3rd Author's Affiliation | Department of Electrical and Electronic Engineering, Tokushima University |
4th Author's Name | Yoshifumi NISHIO |
4th Author's Affiliation | Department of Electrical and Electronic Engineering, Tokushima University |
Date | 2012-04-19 |
Paper # | NLP2012-7 |
Volume (vol) | vol.112 |
Number (no) | 6 |
Page | pp.pp.- |
#Pages | 5 |
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