教師資料查詢 | 類別: 會議論文 | 教師: 史建中 SHIH CHIEN-JONG (瀏覽個人網頁)

標題:Function mapping strategy in nonlinear optimization using neural networks
學年83
學期1
發表日期1994/12/15
作品名稱Function mapping strategy in nonlinear optimization using neural networks
作品名稱(其他語言)
著者Shih, C. J.;Yang, T. L.
作品所屬單位淡江大學機械與機電工程學系
出版者
會議名稱1994 International Symposium on Artificial Neural Networks
會議地點臺南, 臺灣
摘要This paper proposes a zero-order method of nonlinear optimization using back-propagation nets, refer to as neural network nonlinear programming, or NNNLP. The primary procedure includes (1) training of a network to represent an explicit or implicit objective function, (2) examination of the feasibility of mapping function, (3) addition of training sets, (4) reduction of design space, (5) retraining of a mapping network, and (6) searching of an optimum solution. NNNLP works like a parallel multi-line search instead of one-line search in traditional optimization methods. This strategy increases the possibility of obtaining a global optimal solution and provides a totally new perspective of solving an optimization problem. Several constrained and unconstrained problems are solved by this approach and compared with the existing method. The accuracy and efficiency of this method can be improved by enhancing the computer capability and neural network architecture.
關鍵字類神經網路;非線性最佳化;映對函數;Neural Network;Nonlinear Optimization;Mapping Function
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間19941215~19941217
通訊作者
國別中華民國
公開徵稿
出版型式
出處Proceedings of 1994 International Symposium on Artificial Neural Networks頁596-601
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