神经网络计算在采场结构参数分析中的应用

Application of nonlinear neural network to analyze the stope structure parameters

综述了岩土工程结构分析和设计中神经网络计算研究的现状与趋势 ,指出了进一步发展神经网络计算的策略及方向 ,分析了神经网络计算在岩土工程结构分析中的应用原理和基于BP神经网络计算的材料的本构模型 ,并将神经网络计算方法应用于新城金矿地下采场结构参数分析和设计过程中 ,结果表明 。

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.