A Neural Network Approach for Evaluating A Firms's Performance

淡江大學機構典藏 > 工學院 > 資訊工程學系暨研究所 > 期刊論文 > Item 987654321/45392

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題名:	A Neural Network Approach for Evaluating A Firms's Performance
作者:	Huang, Henry C.;Chow, Louis R.;Shiesh, June-horng
貢獻者:	淡江大學資訊工程學系
日期:	1996-03
上傳時間:	2010-03-26 19:12:34 (UTC+8)
出版者:	Stillwater, Okla. : Society of Data Educators
摘要:	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.
關聯:	Journal of Computer Information Systems 36(3), pp.10-15
顯示於類別:	[資訊工程學系暨研究所] 期刊論文

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