摘要
During the past few years efficient singular value-based complexity reduction tools have been developed to fuzzy logic techniques. This paper introduces a singular value-based reduction method to the generalised type neural network. The method conducts singular value decomposition of the weighting functions defined on the connections among the neurons and generates certain linear combinations of the original weighting functions to form a new connection-net for the complexity reduced neural network.
| 原文 | 英語 |
|---|---|
| 頁（從 - 到） | 2503-2508 |
| 頁數 | 6 |
| 期刊 | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| 卷 | 4 |
| 出版狀態 | 已出版 - 2000 |
| 對外發佈 | 是 |
| 事件 | 2000 IEEE International Conference on Systems, Man and Cybernetics - Nashville, TN, USA 持續時間: 08 10 2000 → 11 10 2000 |