|標題：A Neural Network Approach for Evaluating A Firms's Performance|
|作品名稱||A Neural Network Approach for Evaluating A Firms's Performance|
|著者||Huang, Henry C.; Chow, Louis R.; Shiesh, June-horng|
|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.