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Application of Fuzzy Neural Network in Optimal Design of Methane DrainagePipeline System in Coal Mine

机译:模糊神经网络在煤矿瓦斯抽放管道系统优化设计中的应用

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The chief composition of methane is marsh gas in coal mine, which is a prime energy.rnSo, it is important that methane drainage is used effective. The optimal design ofrnpipeline system for the methane drainage is a problem which involves many fuzzyrnand uncertain factors. Applying Matlab function to build an optimal design and selectrnproper training samples, the method based on combining the fuzzy theory withrnartificial neural networks is used to design the pipeline system. The fuzzy neuralrnnetwork is also an information processing system combining the artificial neuralrnnetwork and the fuzzy theory, which can reduce size of the fuzzy neural network andrnimprove learning speed and reliability of algorithm. The example of Dongyu CoalrnMine shows that fuzzy neural network superior design based on Matlab can morerneffectively avert disadvantage of the common network.
机译:甲烷的主要成分是煤矿中的沼气,这是一种主要能源。因此,有效利用甲烷排空很重要。瓦斯抽放管道系统的优化设计是一个涉及许多模糊不确定因素的问题。应用Matlab函数建立最优设计方案,选择合适的训练样本,采用模糊理论与人工神经网络相结合的方法设计管道系统。模糊神经网络也是一种结合了人工神经网络和模糊理论的信息处理系统,可以减小模糊神经网络的规模,提高算法的学习速度和可靠性。东榆煤矿的实例表明,基于Matlab的模糊神经网络高级设计可以更有效地避免常见网络的弊端。

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