| Presentation | 2001/3/16 H_∞-Learning : Global Optimization Approach Kiyoshi NISIYAMA, Kiyohiko SUZUKI, |
|---|---|
| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Back propagation(BP)method is widely known as a learning algorithm of layered neural networks. However, the learning rate is too late, and it is strongly affected by the initial values of weight coefficients and thresholds. In this paper, H_∞-learning of layered neural networks is proposed, and a new learning algorithm, called the g-EHF algorithm, is derived from the H_∞-learning, comparing with back propagation(BP)and extended Kalman filter(EKF)learning algorithms. The robustness of H_∞-learning to variances bo the initial weights and incorrect teach data is verified bycomputer simulations. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | learning algorithm / H_∞ theory / neural network / robust / back propagation / Kalman filter |
| Paper # | NC2000-158 |
| Date of Issue |
| Conference Information | |
| Committee | NC |
|---|---|
| Conference Date | 2001/3/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Neurocomputing (NC) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | H_∞-Learning : Global Optimization Approach |
| Sub Title (in English) | |
| Keyword(1) | learning algorithm |
| Keyword(2) | H_∞ theory |
| Keyword(3) | neural network |
| Keyword(4) | robust |
| Keyword(5) | back propagation |
| Keyword(6) | Kalman filter |
| 1st Author's Name | Kiyoshi NISIYAMA |
| 1st Author's Affiliation | Department of Computer and Information Science, Iwate University() |
| 2nd Author's Name | Kiyohiko SUZUKI |
| 2nd Author's Affiliation | Department of Computer and Information Science, Iwate University |
| Date | 2001/3/16 |
| Paper # | NC2000-158 |
| Volume (vol) | vol.100 |
| Number (no) | 688 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |