| Presentation | 2005/11/11 Local Linear Wavelet Neural Network with Simulated Annealing Method for Time Series Prediction Masafumi TAKESHIMA, Hiroki TAMURA, Masahiro ISHII, Zheng TANG, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The local linear wavelet neural network is an improvement of wavelet network and commonly used learning algorithm is gradient descent method. In this paper, we attempt to predict time series using a local linear wavelet neural network and weight perturbation technique like Simulated Annealing. The simulation results show the effectiveness of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Local Linear Wavelet Neural Network / Simulated Annealing / Time Series Prediction / Sunspot |
| Paper # | NLP2005-62,NC2005-54 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2005/11/11(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Local Linear Wavelet Neural Network with Simulated Annealing Method for Time Series Prediction |
| Sub Title (in English) | |
| Keyword(1) | Local Linear Wavelet Neural Network |
| Keyword(2) | Simulated Annealing |
| Keyword(3) | Time Series Prediction |
| Keyword(4) | Sunspot |
| 1st Author's Name | Masafumi TAKESHIMA |
| 1st Author's Affiliation | Faculty of Engineering, University of Toyama() |
| 2nd Author's Name | Hiroki TAMURA |
| 2nd Author's Affiliation | Faculty of Engineering, University of Toyama |
| 3rd Author's Name | Masahiro ISHII |
| 3rd Author's Affiliation | Faculty of Engineering, University of Toyama |
| 4th Author's Name | Zheng TANG |
| 4th Author's Affiliation | Faculty of Engineering, University of Toyama |
| Date | 2005/11/11 |
| Paper # | NLP2005-62,NC2005-54 |
| Volume (vol) | vol.105 |
| Number (no) | 418 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |