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巷道围岩稳定性分类的MBP神经网络预测研究
引用本文:盛建龙,方奕晖,胡建华. 巷道围岩稳定性分类的MBP神经网络预测研究[J]. 武汉科技大学学报(自然科学版), 2004, 27(4): 349-351
作者姓名:盛建龙  方奕晖  胡建华
作者单位:1. 武汉科技大学化工与资源环境学院,湖北,武汉,430081
2. 中南大学资源与安全学院,湖南,长沙,410083
摘    要:研究BP神经网络的工作原理和改进技术,分析巷道围岩稳定性的影响因素,基于改进的MBP神经网络建立了围岩稳定性分类的神经网络识别模型。研究结果表明,该预测模型性能好,预测精度高,预测结果能很好地拟合地下工程实际,验证了该模型的可行性和实用性。

关 键 词:巷道 围岩稳定性分类 MBP神经网络 预测
文章编号:1672-3090(2004)04-0349-03
修稿时间:2004-04-30

Prediction for Surrounding Rock Stability Classification in Tunnel Based on MBP Neural Network
SHENG Jian-long,FANG Yi-hui,HU Jian-hua. Prediction for Surrounding Rock Stability Classification in Tunnel Based on MBP Neural Network[J]. Journal of Wuhan University of Science and Technology(Natural Science Edition), 2004, 27(4): 349-351
Authors:SHENG Jian-long  FANG Yi-hui  HU Jian-hua
Affiliation:SHENG Jian-long~1,FANG Yi-hui~1,HU Jian-hua~2
Abstract:The work principle and the modified technology of BP neural network are studied,and the factors influencing surrounding rock stability in tunnel are analyzed.A neural network model for predicting surrounding rock stability classification is built based on the modified MBP neural network. The applied research at mine show that the model has sound performance and high precision,with the prediction results for predicting well in accordance with engineering practice.The feasibility and practicability of the model is thus verified.
Keywords:tunnel  surrounding rock stability classification  MBP neural network  prediction
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