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Approximation of the Natural Gas Pumping Compressor Characteristics using a Multi-layer Neural Network

机译:使用多层神经网络逼近天然气泵送压缩机特性的逼近

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Results of approximation of characteristics of a natural gas centrifugal compressor by a multi-layer neural network and a nonlinear regression model are compared. It is shown that the analytical description of the compressor characteristics makes it possible to increase the accuracy of calculating the coefficients of the compressor model linearized at the operating point.
机译:用多层神经网络和非线性回归模型对天然气离心压缩机特性近似的结果。结果表明,压缩机特性的分析描述使得可以提高计算在操作点线性化的压缩机模型的系数的精度。

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