基于神经网络的模糊风险评价技术的应用
Application of Fuzzy Risk Assessment Based on Neural Network in Urban Buried Gas Pipeline
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摘要: 将模糊系统和BP神经网络有机结合起来, 形成了基于BP神经网络的模糊风险评价方法, 并结合城区埋地燃气管道建立了基于模糊系统的神经网络模型。对某市埋地燃气管道进行了管道失效后果严重度的模糊评判, 结果表明, 该方法与模糊综合评价有相同功效, 而且省去了各影响因素权重的确定与逐层运算的繁杂过程, 评价效率高。Abstract: Combining fuzzy systems with neural networks, the method of fuzzy risk assessment based on BPneural network is given in the paper.And the model of fuzzy risk assessment based on BP neural networkabout the urban buried gas pipeline is found.Moreover serious degree of the pipeline failure consequenceusing the new method is evaluated.Resultsshow that the difference calculated by the two differentmethods is very small, and miseellaneous processes of defining the weight on various effecting factors andlevel operation are left out.Assessment efficiency of the new method used is improved.