Application of nonlinear neural network to analyze the stope structure parameters

被引：0
|
作者：
Lai, X.-P. [1 ]
Cai, M.-F. [1 ]
Zhang, B.-C. [1 ]
机构：
[1] Civil and Environmental School, Univ. of Science and Technology, Beijing 100083, China
来源：
Meitan Xuebao/Journal of China Coal Society | 2001年 / 26卷 / 03期
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摘要：
In this paper, the state-of-the-art of neural computing in geotechnical structural analysis and design has been surveyed. Its computing strategies and research trends are given. The principle of the BP neural networks and computing for constitutive modeling have been disscussed, then achieved in appliying to analyze the underground stope structure parameters in the Xincheng gold mine with the applications of BP network, it is proven that the neurocomputing is a practical tool for solving large-scale rock underground structural engineering problems.
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页码：245 / 248
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