|
|||||
|
|
| 人工神经网络方法辨识岩体力学参数的可辨识性及其稳定性探讨 | |
| 引用本文： | 刁心宏 冯夏庭 等. 人工神经网络方法辨识岩体力学参数的可辨识性及其稳定性探讨[J]. 矿冶, 2001, 10(3): 11-14,19 |
| 作者姓名： | 刁心宏 冯夏庭 等 |
| 作者单位： | 东北大学 辽宁沈阳110004(刁心宏，冯夏庭，张士林)，东北大学 辽宁沈阳110004(赵炳祁) |
| 基金项目： | 霍英东教育基金会资助 (710 48)，高等学校博士点基金 (990 145 2 3) |
| 摘 要： | 探讨了以巷道围岩变形观测为依据 ,用神经网络反推岩体物理力学性质和初始地应力环境参数时各参数的可辨识性 ,以及参数辨识的稳定性。找出了待辨识参数个数与所需最少巷道变形观测项目数之间的关系 ,并给出了巷道围岩变形观测项目选择的建议 |
| 关 键 词： | 神经网络 岩体力学参数 可辨识性 稳定性 |
| 文章编号： | 1005-7854(2001)03-0011-04 |
DISCUSSION ON IDENTIFIABILITY AND STABILITY OF IDENTIFYING MECHANICS PARAMETERS OF A ROCK MASS WITH ARTIFICIAL NEURAL NETWORK |
|
| DIAO Xin hong,FENG Xia ting,ZHANG Shi lin,ZHAO Bing qi. DISCUSSION ON IDENTIFIABILITY AND STABILITY OF IDENTIFYING MECHANICS PARAMETERS OF A ROCK MASS WITH ARTIFICIAL NEURAL NETWORK[J]. Mining & Metallurgy, 2001, 10(3): 11-14,19 | |
| Authors: | DIAO Xin hong FENG Xia ting ZHANG Shi lin ZHAO Bing qi |
| Abstract: | Based on the survey to displacement of wall rocks of an opening,the identifiability and stability of identifying the mechanics parameters of a rock mass and the parameters of original stress condition with artificial neural network were investigated in this paper The relationship between parameter number to be identified and item of displacement survey was found out Suggestions for selecting survey items of opening displacement was put forward |
| Keywords: | Neural network Mechanics parameters of rock mass Identifiability Stability |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
| 点击此处可从《矿冶》浏览原始摘要信息 | |
| 点击此处可从《矿冶》下载全文 | |