Adaptive sliding mode approach for learning in a feedforward neural network

被引：0
|
作者：
X. Yu
M. Zhihong
S. M. Monzurur Rahman
机构：
[1] Faculty of Informatics and Communication,Central Queensland University
[2] University of Tasmania,Department of Electrical Engineering and Computer Science
[3] Monash University,Department of Computer Science and Software Engineering
来源：
Neural Computing & Applications | 1998年 / 7卷
关键词：
Adaptive linear elements; Backpropagation; Sliding mode concept;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：289 / 294
页数：5
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