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基于人工神经网络(BP)的混凝土抗裂性能指标预测
引用本文:王红强. 基于人工神经网络(BP)的混凝土抗裂性能指标预测[J]. 西北水电, 2010, 0(2): 28-30
作者姓名:王红强
作者单位:中国水电顾问集团西北勘测设计研究院,西安,710065
摘    要:通过对人工神经元及BP网络的简要介绍,结合三峡工程大坝混凝土试验实测数据,应用人工神经网络的理论和方法,利用MATLAB语言编制了基于神经网络理论的混凝土抗裂指标预测程序,实现了对混凝土抗裂指标值的预测,证明了人工神经网络在混凝土抗裂指标预测方面的可行性与可靠性。

关 键 词:神经网络  水工混凝土  抗裂性能  预测

Prediction of concrete crack-resistant performance index based on artificial neural network(BP)
WANG Hong-qiang. Prediction of concrete crack-resistant performance index based on artificial neural network(BP)[J]. Northwest Water Power, 2010, 0(2): 28-30
Authors:WANG Hong-qiang
Affiliation:WANG Hong-qiang(Northwest Hydro Consulting Engineers,CHECC,Xi'an 710065,China)
Abstract:The paper briefly describes the artificial neural elements and BP network.Based on the measured data from test on concrete of Three-Gorges Dam,and applying the theory and method of artificial neural network,the prediction program of concrete crack-resistant index is prepared by use of MATLAB language,which realizes the prediction of concrete crack-resistant index value and proves the availability and reliability of artificial neural network in the prediction of concrete crack-resistant index.
Keywords:neural network  hydraulic concrete  crack-resistant performance  prediction  
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