| Presentation | 1997/5/23 An Input Sequence Analysis for a Hybrid Neural Predictor Ashraf A.M. Khalaf, Kenji Nakayama, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to measure the difficulty of nonlinear time sereis prediction, we propose some measure, with which correlation among the input samples is evaluated. Furthermore, relation between the number of the input samples, applied to the predictor in parallel, and prediction performance can be estimated based on this measure. A cascade structure of multi-layer (ML) neural network combined with a finite-impulse-response (FIR) filter is suggested for one-step prediction of nonlinear time series. Using the FIR as a second stage of the predictor speeds up the convergence of the proposed network for different input samples and hidden neurons combinations. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Nonlinear Signal Processing / Neural Networks / FIR Filter / Hybrid Predictor Models |
| Paper # | NC97-2 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1997/5/23(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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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) | An Input Sequence Analysis for a Hybrid Neural Predictor |
| Sub Title (in English) | |
| Keyword(1) | Nonlinear Signal Processing |
| Keyword(2) | Neural Networks |
| Keyword(3) | FIR Filter |
| Keyword(4) | Hybrid Predictor Models |
| 1st Author's Name | Ashraf A.M. Khalaf |
| 1st Author's Affiliation | Graduate School of Nat.Sci.and Tech.() |
| 2nd Author's Name | Kenji Nakayama |
| 2nd Author's Affiliation | Faculty of Eng., Kanazawa Univ. |
| Date | 1997/5/23 |
| Paper # | NC97-2 |
| Volume (vol) | vol.97 |
| Number (no) | 69 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |