BP ANN model of back analysis of CFRD has been constructed with Newff Function of MATLAB language, the material parameters of Duncan E-B model is calculated by back analysis.
运用MATLAB语言提供的神经网络功能函数，建立面板堆石坝反分析的BP神经网络模型，对邓肯e - B模型的材料参数进行反演计算。
By comparing with standard BP model, it shows that both the two improved methods can improve the precision of ANN efficiently.
通过与标准BP算法的比较，表明这两种改进方法都能有效地提高神经网络模型的精度。
To enhance the validity of evaluation, based on ANN(artificial neural network), a comprehensive evaluation model of the safety of road traffic based on BP(back propagation) neural network was built.
为了提高评价的准确性，采用人工神经网络技术，建立了基于BP神经网络的道路交通安全综合评价模型。
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