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RCC坝热学参数人工神经网络反馈分析
引用本文:王成山,韩敏,史志伟. RCC坝热学参数人工神经网络反馈分析[J]. 大连理工大学学报, 2004, 44(3): 437-441
作者姓名:王成山  韩敏  史志伟
作者单位:大连理工大学,土木水利学院,辽宁,大连,116024;大连理工大学,电子与信息工程学院,辽宁,大连,116024
摘    要:基于人工神经网络的方法,建立了碾压混凝土坝施工期热学参数反馈分析模型.根据某碾压混凝土坝坝体温度观测资料,对碾压混凝土坝施工期热学参数进行反演,结果表明此法适用于解决这类复杂非线性问题.具有较好的稳定性和收敛性.反演结果满足工程需要.

关 键 词:人工神经网络  碾压混凝土坝  热学参数  反馈分析
文章编号:1000-8608(2004)03-0437-05

Analysis method of thermal parameters feedback during construction period of RCC dam based on artificial neural network
WANGCheng-shan. Analysis method of thermal parameters feedback during construction period of RCC dam based on artificial neural network[J]. Journal of Dalian University of Technology, 2004, 44(3): 437-441
Authors:WANGCheng-shan
Affiliation:WANGCheng-shan~
Abstract:The model analysis method of the thermal parameters feedback during the construction period of RCC dam was set up, which was based on the method of artificial neural network. The thermal parameters during the construction period of RCC dam were counter-performed on the basis of certain RCC dam body temperature observation data, and the experimental results show that the method is fit for solving such complicated non-linear problems, and has a better stability and convergence. It meets the needs of the project.
Keywords:artificial neural network  RCC dam  thermal parameters  feedback analysis
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