期刊論文
| 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 ) |