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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/45392

    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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