| 標題：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 | 英文(美國) |
| 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 | 美國 |
| 公開徵稿 | |
| 出版型式 | ,紙本 |
| 相關連結 | |
