資訊系 趙榮耀 教授於
A Neural Network Approach for Evaluating A Firms's Performance
：A Neural Network Approach for Evaluating A Firms's Performance期刊論文A Neural Network Approach for Evaluating A Firms's PerformanceHuang, Henry C.; Chow, Louis R.; Shiesh, June-horng淡江大學資訊工程學系Stillwater, Okla. : Society of Data EducatorsJournal of Computer Information Systems 36(3), pp.10-15The 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.tku_id: 000007753;Made available in DSpace on 2010-03-26T11:12:34Z (GMT). No. of bitstreams: 0;20131231 verified by Sujenen_