基于GA-BP网络的浆体水平管道输送系统摩阻损失的预测

Prediction on the Friction Loss of the Level of Slurry Pipeline Transport System Based on GA-BP Network

介绍了遗传算法的基本思想和操作原理,重点分析了遗传算法对神经网络的网络权和阈值的优化,将遗传算法与神经网络相结合应用于浆体水平管道阻力特性的研究中,对管道内浆体摩阻损失进行拟合和预测,结果表明,预测浆体摩阻损失与实测浆体摩阻损失相吻合。

The basic idea and operating principle of genetic algorithm are introduced,the process of genetic algorithm to optimize the weight and threshold values of neural network is analyzed in detail,the genetic algorithm and neural network are combined with each other to analyze the resistance characteristics of slurry horizontal line so as to conduct fitting and prediction of the friction loss of pipe slurry. The results show that,the prediction of friction loss of slurry friction is consistence to the measured friction loss of slurry friction.