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神经网络对贮灰坝的稳定预测
引用本文:马妹英. 神经网络对贮灰坝的稳定预测[J]. 水科学与工程技术, 2005, 0(3): 10-12
作者姓名:马妹英
作者单位:大连理工大学,土木水利学院,辽宁,大连,116023
摘    要:应用改进的BP神经网络对贮灰坝的安全状况进行了实时在线分析和预测,预测了水位变化时贮灰坝的安全系数,分析了贮灰坝安全系数的影响因素,具有很好的工程实用价值。

关 键 词:贮灰坝  神经网络  BP算法  安全系数
文章编号:1672-9900(2005)03-0010-03
修稿时间:2005-10-15

Application of Neural Network in Monitoring System Factor of Safety of Flyash Storage Dam
MA Mei-ying. Application of Neural Network in Monitoring System Factor of Safety of Flyash Storage Dam[J]. Water Sciences and Engineering Technology, 2005, 0(3): 10-12
Authors:MA Mei-ying
Abstract:By application of ameliorable BP Algorithm, the paper analyses and forecasts the safety factor of flyash storage dam when the water level of flyash storage dam changes.At the same time, the paper analyses affecting factor of safety of flyash storage dam.The method of the paper has practical use in the engineering work.
Keywords:flyash storage dam  neural network  BP algorithm  safety factor  
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