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Adaptive sliding mode approach for learning in a feedforward neural network

Citation

Yu, X and Man, Z and Rahman, M, Adaptive sliding mode approach for learning in a feedforward neural network, Neural computing & Applications, 7, (4) pp. 289-294. ISSN 0941-0643 (1998) [Refereed Article]

DOI: doi:10.1007/BF01428120

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 priori knowledge 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.

Item Details

Item Type:Refereed Article
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Control Systems, Robotics and Automation
Objective Division:Manufacturing
Objective Group:Computer Hardware and Electronic Equipment
Objective Field:Integrated Systems
Author:Man, Z (Dr Zhihong Man)
ID Code:15257
Year Published:1998
Web of Science® Times Cited:28
Deposited By:Electrical Engineering
Deposited On:1998-08-01
Last Modified:2011-11-23
Downloads:0

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