Optimal Design of Plane Frame Using Artificial Neural Networks and Ratio Variables
學年 103
學期 1
出版（發表）日期 2014-11-01
作品名稱 Optimal Design of Plane Frame Using Artificial Neural Networks and Ratio Variables
作品名稱（其他語言）
著者 Kao, Chin-Sheng; Yeh, I-Cheng
單位
出版者
著錄名稱、卷期、頁數 Structural Engineering and Mechanics 52(4), pp.739-753
摘要 There have been many packages that can be employed to analyze plane frames. However, because most structural analysis packages suffer from closeness of system, it is very difficult to integrate it with an optimization package. To overcome the difficulty, we proposed a possible alternative, DAMDO, which integrate Design, Analysis, Modeling, Definition, and Optimization phases into an integrative environment. The DAMDO methodology employs neural networks to integrate structural analysis package and optimization package so as not to need directly to integrate these two packages. The key problem of the DAMDO approach is how to generate a set of reasonable random designs in the first phase. According to the characteristics of optimized plane frames, we proposed the ratio variable approach to generate them. The empirical results show that the ratio variable approach can greatly improve the accuracy of the neural networks, and the plane frame optimization problems can be solved by the DAMDO methodology.
關鍵字
語言 en_US
ISSN 1225-4568
期刊性質 國外
收錄於 SCI
產學合作
通訊作者 Yeh, I-Cheng
審稿制度 否
國別 USA
公開徵稿
出版型式 ,電子版,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/104652 )