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The Gas Pipeline Risk Assessment Base on Principal Component Analysis and BP Neural Network

机译:基于主成分分析和BP神经网络的燃气管道风险评估

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摘要

In this article ,we combine the status of Handan City gas pipeline, then proposed comprehensive evaluation ideas based on principal component analysis and BP neural network, The BP neural network has the advantage of parallel processing, adaptive learning and fault tolerance, so a BP neural network model based on principal component analysis will be created ,thus we can make the effectively risk assessment on gas pipeline.
机译:本文结合邯郸市天然气管道的现状,基于主成分分析和BP神经网络提出了综合评价思路,BP神经网络具有并行处理,自适应学习和容错的优点,因此,BP神经网络具有并行处理,自适应学习和容错的优点。建立基于主成分分析的网络模型,可以对燃气管道进行有效的风险评估。

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