Presentation | 2002/6/27 Analysis of 1/ƒ characteristics of Neural Networks with the Fokker-Planck Equation : 1/ƒ characteristics with the Fokker-Planck Equation Yoshinobu KAMITANI, Ikuo MATSUBA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We have obtained 1/ƒ spectra with the simplifed neural networks, theoretically. And we have built up the neural networks in computer and confirmed 1/ƒ spectra successfully. However, we didn't consider the stability of the solutions that exhibit 1/ƒ spectra. Now, with the Fokker-Planck equation, which deals with the flow of the probability, we discuss the properties of those solutions. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | 1/ƒ spectra / neural network / self-similarity / stability / Fokker-Planck equation |
Paper # | NLP2002-27 |
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Committee | NLP |
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Conference Date | 2002/6/27(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) | Analysis of 1/ƒ characteristics of Neural Networks with the Fokker-Planck Equation : 1/ƒ characteristics with the Fokker-Planck Equation |
Sub Title (in English) | |
Keyword(1) | 1/ƒ spectra |
Keyword(2) | neural network |
Keyword(3) | self-similarity |
Keyword(4) | stability |
Keyword(5) | Fokker-Planck equation |
1st Author's Name | Yoshinobu KAMITANI |
1st Author's Affiliation | Matsuba Lab., Graduate School of Science and Technology, Chiba University() |
2nd Author's Name | Ikuo MATSUBA |
2nd Author's Affiliation | Department of Information and Image Sciences, Faculty of Engineering, Chiba University |
Date | 2002/6/27 |
Paper # | NLP2002-27 |
Volume (vol) | vol.102 |
Number (no) | 181 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |