| ANFIS在水电站地下厂房围岩变形预测中应用 |
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| 引用本文： | 金长宇,马震岳,张运良.ANFIS在水电站地下厂房围岩变形预测中应用[J].大连理工大学学报,2009,49(4):576-579. |
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| 作者姓名： | 金长宇 马震岳 张运良 |
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| 作者单位： | 1. 大连理工大学土木水利学院,辽宁,大连,116024;中国水电顾问集团华东勘测设计研究院,浙江,杭州,310014
2. 大连理工大学土木水利学院,辽宁,大连,116024 |
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| 基金项目： | 岩土力学与工程国家重点实验室资助项目(Z110801) |
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| 摘 要： | 针对目前应用人工神经网络(ANN)方法预测地下洞室围岩变形时间序列的缺陷,提出一种将神经元网络和模糊逻辑有机结合的新型模糊推理系统——ANFIS(adaptive-network-based fuzzy inference systems),该系统采用反向传播算法和最小二乘法的混合算法分别调整前提参数和结论参数,充分地利用了神经网络的学习能力和模糊逻辑的表达能力,实现了回归模型的自适应调整.通过龙滩电站的实例应用可以发现,ANFIS预测系统较传统ANN方法具有简单、快速以及预测精度高等特点.
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| 关 键 词： | 围岩变形 预测 ANFIS BP网络 |
Prediction of surrounding deformations of underground powerhouse using ANFIS |
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| JIN Changyu,MA Zhenyue,ZHANG Yunliang.Prediction of surrounding deformations of underground powerhouse using ANFIS[J].Journal of Dalian University of Technology,2009,49(4):576-579. |
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| Authors: | JIN Changyu MA Zhenyue ZHANG Yunliang |
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| Institution: | JIN Chang-yu1,2,MA Zhen-yue1,ZHANG Yun-liang11.School of Civil , Hydraulic Engineering,Dalian University of Technology,Dalian 116024,China,2.East China Hydropower Investigation , Design Institute,CHECC,Zhejiang 310014 |
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| Abstract: | In allusion to the insufficiency of the prediction accuracy of artificial neural network(ANN) algorithm for underground cavern rock surrounding stability,the method of ANFIS(adaptive-network-based fuzzy inference systems) machines is applied to researching into evolution law for a nonlinear deformation time series of rock surrounding.ANFIS is a new fuzzy inference system which combines neural network and fuzzy logic organically.The hybrid algorithm of back propagation algorithm and least square method is ad... |
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| Keywords: | surrounding deformation prediction ANFIS BP network |
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