| タイトル | Neural networks for structural design - An integrated system implementation |
| 著者（英） | Hafez, Wassim; Pao, Yoh-Han; Berke, Laszlo |
| 著者所属（英） | NASA Lewis Research Center |
| 発行日 | 1992-01-01
1992 |
| 言語 | eng |
| 内容記述 | The development of powerful automated procedures to aid the creative designer is becoming increasingly critical for complex design tasks. In the work described here Artificial Neural Nets are applied to acquire structural analysis and optimization domain expertise. Based on initial instructions from the user an automated procedure generates random instances of structural analysis and/or optimization 'experiences' that cover a desired domain. It extracts training patterns from the created instances, constructs and trains an appropriate network architecture and checks the accuracy of net predictions. The final product is a trained neural net that can estimate analysis and/or optimization results instantaneously. |
| NASA分類 | CYBERNETICS |
| レポートNO | 93A20389
AIAA PAPER 92-4806 |
| 権利 | Copyright |
