| Presentation | 2003/3/10 Behaviors of Globally Suboptimized H_∞-Learning Kiyoshi NISIYAMA, Koushi OCHISAI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Back propagation (BP) method and the extended Kalman filter (EKF) learning algorithms are known as a conventional learning algorithm for layered neural networks. However, their learning speed (or the number of learning iterations ) is strongly affected by the initial values of weight coefficients and thresholds. This paper focuses on a globally suboptimized H_∞-learning algorithm (g-EHF), investigating details of its behaviors on the error surface as well as in the weight space using computer simulations. Our aim in the present paper is to clarify the mechanism for robustness of the H_∞-learning to variations in the initial weight vector. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | H_∞-learning / H_2-learning / BP / weight space / error surface / learning algorithm |
| Paper # | NC2002-143 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2003/3/10(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 | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Behaviors of Globally Suboptimized H_∞-Learning |
| Sub Title (in English) | |
| Keyword(1) | H_∞-learning |
| Keyword(2) | H_2-learning |
| Keyword(3) | BP |
| Keyword(4) | weight space |
| Keyword(5) | error surface |
| Keyword(6) | learning algorithm |
| 1st Author's Name | Kiyoshi NISIYAMA |
| 1st Author's Affiliation | Department of Computer and Information Science, Iwate University() |
| 2nd Author's Name | Koushi OCHISAI |
| 2nd Author's Affiliation | Department of Computer and Information Science, Iwate University |
| Date | 2003/3/10 |
| Paper # | NC2002-143 |
| Volume (vol) | vol.102 |
| Number (no) | 729 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |