Energy consumption of oil pipeline is affected by many factors. To predict the energy consumption accurately, the BP neural network, which is capable of self-organizing, self-adaptation, and approximating any nonlinear continuous mapping, is adopted to build a prediction model. In order to make the model more generalized, the error control formula is added in the computing process with traditional BP neural network. Finally, a prediction model of crude oil pipeline is obtained based on improved BP neural ne...
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