摘要
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.
出处
《中国矿业大学学报》
EI
CAS
CSCD
北大核心
1997年第1期9-11,共3页
Journal of China University of Mining & Technology
基金
国家自然科学基金
关键词
巷道围岩稳定性
模糊神经元网络
模式识别模型
stability of rock around roadway, fuzzy neural networks, pattern recognition model