摘要
为了综合考虑安全评价中各因素的影响,采用人工神经网络BP网络模型,建立基于人工神经网络的堤坝安全评价方法.以黄河下游堤防工程为例,依据堤坝的设计和检测规范,建立了相应的安全评价指标,利用地质资料和观测资料对堤坝安全进行了分析与评价,验证了模型的可靠性.
In order to consider the factors synthetically on safety evaluation, the BP network model is adopted to build up the safety evaluation method of dykes and dams by the artificial neural network. Taking the embankment engineering of the Yellow River＇ s downstream as examples, the homologous safety evaluation index is built up according to the design and detect criterions of embankment dam, the safety of embankment dam by using of the geology data and observational data is analyzed and evaluated. Through computational analysis the model is be considered as dependable and feasible.
出处
《华北水利水电学院学报》
2008年第2期4-5,8,共3页
North China Institute of Water Conservancy and Hydroelectric Power
关键词
堤坝
安全评价
人工神经网络
BP网络模型
embankment dam
safety evaluation
artificial neural network
BP network model
