關鍵字查詢 | 類別:期刊論文 | | 關鍵字:A Neural Network Approach for Evaluating A Firms's Performance

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序號 學年期 教師動態
1 84/2 資訊系 趙榮耀 教授 期刊論文 發佈 A Neural Network Approach for Evaluating A Firms's Performance , [84-2] :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_
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