|
|||||
|
|
Adaptive sliding mode approach for learning in a feedforward neural network |
|
| Authors: | X. Yu M. Zhihong S. M. Monzurur Rahman |
| Affiliation: | (1) Central Queensland University, Faculty of Informatics and Communication, 4702 Rockhampton, QLD, Australia;(2) Department of Electrical Engineering and Computer Science, University of Tasmania, Hobart, Australia;(3) Department of Computer Science and Software Engineering, Monash University, Caulfield Campus, Australia |
| Abstract: | An adaptive learning algorithm is proposed for a feedforward neural network. The design principle is based on the sliding mode concept. Unlike the existing algorithms, the adaptive learning algorithm developed does not require a prioriknowledge of upper bounds of bounded signals. The convergence of the algorithm is established and conditions given. Simulations are presented to show the effectiveness of the algorithm. |
| Keywords: | Adaptive linear elements Backpropagation Sliding mode concept |
| 本文献已被 SpringerLink 等数据库收录！ | |