巷道围岩稳定性模糊神经元网络模式识别模型

Pattern Recognition Model for Stability of Rock around Roadway Based on Artificial Neural Networks

提出了一种模糊神经元网络．运用该网络，通过对典型样本的学习，建立了巷道围岩稳定性模糊神经元网络模式识别模型．研究结果表明：该模型映射精度高，可依据矿山地质因素正确推理出围岩稳定性类别，而且能描述巷道对于每一类别聚类中心的相对隶属程度．

On the basis of putting forward a kind of fuzzy neural networks, a pattern recognition model for stability of rock around roadway is set up by studying typical samples. The results show that the model can not only correctly infer the classification of rock around roadway, but also can describe its relative subordinate degree.