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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神经网络的输电线路冰厚预测方法研究。

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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:预测输电线路的冰厚对于输电网络的安全运行非常重要。作者将人工神经网络(ANN)引入到输电线路冰厚的预测中,提出了一种基于遗传算法和BP地址的BP网络缺陷预测模型,该模型具有收敛速度慢和易于达到局部最小值的特点,并且最终证明了GA-BP模型在预测输电线路冰厚方面更有效。

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