Presentation | 1996/2/2 Time Series Analysis using Radial Basis Function Networks Satoshi Ogawa, Tohru Ikeguchi, Takeshi Matozaki, Kazuyuki Aihara, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper deterministic nonlinear prediction is applied to artificial time series data and real data of squid axon response using radial basis function networks. We adopted smoothing radial basis interpolation which considers both faithfulness and smoothness of interpolation which is suitable under existence of noise. In order to take an optimal balance between faithfulness and smoothness of interpolation, cross validation is applied. As a result, it is confirmed that the smoothing radial basis interpolation by cross validation is more effective than standard one. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Radial basis function / Time series analysis / Chaos / Cross validation / Bifurcation / Prediction |
Paper # | NC95-95 |
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Committee | NC |
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Conference Date | 1996/2/2(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 | Neurocomputing (NC) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Time Series Analysis using Radial Basis Function Networks |
Sub Title (in English) | |
Keyword(1) | Radial basis function |
Keyword(2) | Time series analysis |
Keyword(3) | Chaos |
Keyword(4) | Cross validation |
Keyword(5) | Bifurcation |
Keyword(6) | Prediction |
1st Author's Name | Satoshi Ogawa |
1st Author's Affiliation | Department of Applied Electronics, Science University of Tokyo() |
2nd Author's Name | Tohru Ikeguchi |
2nd Author's Affiliation | Department of Applied Electronics, Science University of Tokyo |
3rd Author's Name | Takeshi Matozaki |
3rd Author's Affiliation | Department of Applied Electronics, Science University of Tokyo |
4th Author's Name | Kazuyuki Aihara |
4th Author's Affiliation | Department of Mathematical Engineering and Information, University of Tokyo |
Date | 1996/2/2 |
Paper # | NC95-95 |
Volume (vol) | vol.95 |
Number (no) | 505 |
Page | pp.pp.- |
#Pages | 8 |
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