Meifeng Caiand Xingping Lai, Evaluation on Stability of Stope Structure Based on Nonlinear Dynamics of Coupling Artificial Neural Network, J. Univ. Sci. Technol. Beijing, 9(2002), No. 1, pp. 1-4.
Cite this article as:
Meifeng Caiand Xingping Lai, Evaluation on Stability of Stope Structure Based on Nonlinear Dynamics of Coupling Artificial Neural Network, J. Univ. Sci. Technol. Beijing, 9(2002), No. 1, pp. 1-4.
Meifeng Caiand Xingping Lai, Evaluation on Stability of Stope Structure Based on Nonlinear Dynamics of Coupling Artificial Neural Network, J. Univ. Sci. Technol. Beijing, 9(2002), No. 1, pp. 1-4.
Citation:
Meifeng Caiand Xingping Lai, Evaluation on Stability of Stope Structure Based on Nonlinear Dynamics of Coupling Artificial Neural Network, J. Univ. Sci. Technol. Beijing, 9(2002), No. 1, pp. 1-4.
The nonlinear dynamical behaviors of artificial neural network (ANN) and their application to science and engineering were summarized. The mechanism of two kinds of dynamical processes, i.e. weight dynamics and activation dynamics in neural networks, and the stability of computing in structural analysis and design were stated briefly. It was successfully applied to nonlinear neural network to evaluate the stability of underground stope structure in a gold mine. With the application of BP network, it is proven that the neuro-com-puting is a practical and advanced tool for solving large-scale underground rock engineering problems.