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The Study on the Prediction Method of Ice Thickness of Transmission Line Based on the Combination of GA and BP Neural Network

机译:基于GA和BP神经网络组合的传输线冰厚度预测方法研究

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It is very important to forecast the ice thickness of Transmission Line for the safe operation of transmission network. The author had introduced artificial neural network(ANN) to the prediction of the ice thickness of transmission line, and proposed a predictive model based on GA and BP addresses on the defects of BP network includes slow convergence and easiness of running to local minimum, and finally proved that GA-BP model was more effective to predict the ice thickness of transmission line the BP model.
机译:预测传输线的冰厚度是非常重要的,用于传输网络的安全操作。作者已经将人工神经网络(ANN)引入了传输线的冰厚度的预测,并提出了基于GA和BP地址的预测模型,BP网络的缺陷包括慢的收敛和跑到局部最小的易于收敛性和易于施加最后证明了GA-BP模型更有效地预测传输线的BP模型的冰厚度。

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