A Neural Network Approach for Evaluating A Firms's Performance
學年 84
學期 2
出版（發表）日期 1996-03-01
作品名稱 A Neural Network Approach for Evaluating A Firms's Performance
作品名稱（其他語言）
著者 Huang, Henry C.; Chow, Louis R.; Shiesh, June-horng
單位 淡江大學資訊工程學系
出版者 Stillwater, Okla. : Society of Data Educators
著錄名稱、卷期、頁數 Journal of Computer Information Systems 36(3), pp.10-15
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.
關鍵字
語言 en_US
ISSN 0887-4417
期刊性質 國外
收錄於
產學合作
通訊作者
審稿制度 否
國別 USA
公開徵稿
出版型式 ,紙本
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