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Adaptive sliding mode approach for learning in a feedforward neural network
journal contributionposted on 2023-05-16, 11:27 authored by Yu, X, Man, Z, Rahman, M
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.
Publication titleNeural computing & Applications
Department/SchoolSchool of Engineering
PublisherSpringer-Verlag London Limited
Place of publicationLondon