巷道围岩移近量神经网络预报模型——巷道围岩稳定性的聚类分析

Based on Artificial Neural Networks a Forecasting Model for Rock Deformation around Roadway - Clustering Analysis Model for Stability of Rock around Roadway

在运用误差反向传播(BP)神经元网络确定巷道围岩稳定性判定各特性指标权重的基础上,采用自适应共振(ART)神经元网络对巷道围岩稳定性的聚类分析问题进行了研究.结果表明,神经元网络是用于解决采矿工程中权重评价、模式聚类问题的有效方法,对于解决采矿工程中相关问题有着广泛的应用前景.

On the basis of defining each index weight affecting the stability of rock around by means of Back Propoation Neural Network,this paper sets up the clustering analysis model for stability of rock around roadway by Adaptive Resonance Theory Neural Network.Results show that Neural Network is an effective method for solving the weight evaluation,clustering analysis problem in mining and has widely spreading application prospect.