An orthogonal neural network for function approximation

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Title:	An orthogonal neural network for function approximation
Authors:	Yang,SS;Tseng,CS
Contributors:	機械工程學系
Keywords:	SYSTEMS
Date:	1996
Issue Date:	2010-06-29 18:05:44 (UTC+8)
Publisher:	中央大學
Abstract:	This paper presents a new single-layer neural network which is based on orthogonal functions. This neural network is developed to avoid the problems of traditional feedforward neural networks such as the determination of initial weights and the numbers of layers and processing elements, The desired output accuracy determines the required number of processing elements, Because weights are unique, the training of the neural network converges rapidly, An experiment in approximating typical continuous and discrete functions is given, The results show that the neural network has excellent performance in convergence time and approximation error.
Relation:	IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
Appears in Collections:	[Graduate Institute of Mechanical Engineering] journal & Dissertation

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