Modeling creep behavior of soft rock using an evolutionary neural computing method
文献类型：会议论文
| 作者 | Yang, C. X.; Feng, X. T.; Chen, B. R. |
| 出版日期 | 2008 |
| 会议日期 | JUN 03-08, 2008 |
| 会议地点 | Huangshan, PEOPLES R CHINA |
| 关键词 | creep soft rock modeling genetic algorithm neural network |
| 页码 | 456-459 |
| 英文摘要 | This paper presents a hybrid evolutionary neural learning algorithm to model the creep behavior of soft rock. In this method, a back-propagation neural network is trained to model the underline relationship. To improve the training efficiency, a genetic algorithm is employed to optimize the network topology and to search the global optimal initial weights for the local gradient-descent training algorithm. Application results show the flexibility and effectiveness of the present approach which provide a powerful alternative to the explicit modeling scheme characterized as costing and time-consuming work. |
| 会议录 | ADVANCES IN HETEROGENEOUS MATERIAL MECHANICS 2008
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| 会议录出版者 | DESTECH PUBLICATIONS, INC |
| 会议录出版地 | LANCASTER |
| 语种 | 英语 |
| WOS研究方向 | Engineering ; Materials Science |
| WOS记录号 | WOS:000257167700117 |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/4473]  |
| 专题 | 岩土力学所知识全产出_会议论文 |
| 作者单位 | Chinese Acad Sci, Inst Rock & Soil Mech |
| 推荐引用方式 GB/T 7714 | Yang, C. X.,Feng, X. T.,Chen, B. R.. Modeling creep behavior of soft rock using an evolutionary neural computing method[C]. 见:. Huangshan, PEOPLES R CHINA. JUN 03-08, 2008. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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