A Neural Network Approach for Evaluating A Firms's Performance

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Title:	A Neural Network Approach for Evaluating A Firms's Performance
Authors:	Huang, Henry C.;Chow, Louis R.;Shiesh, June-horng
Contributors:	淡江大學資訊工程學系
Date:	1996-03
Issue Date:	2010-03-26 19:12:34 (UTC+8)
Publisher:	Stillwater, Okla. : Society of Data Educators
Abstract:	The evaluation of a firm's performance has been extensively studied in the field of accounting. This paper presents an integrated devaluation system which is based on a neural-network approach designed to predict a firm's performance. The integrated system combines two neural network paradigms – self-organizing network and Grossberg's instar network. The results of our experimental studies reveal that the proposed integrated system exhibits reliable classifying potential with a high degree of fault tolerance in the overall process of evaluating a firm's performance.
Relation:	Journal of Computer Information Systems 36(3), pp.10-15
Appears in Collections:	[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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