基于神经网络的短电弧覆盖次数最优化模型研究

Research on Optimization Model of Short Arc Coverage Times Based on Neural Network

研究六边形覆盖模型,并基于六边形模型,对短电弧最少覆盖次数进行优化,最后利用BP神经网络对最少次数进行预测与验证,最后得出,BP神经网络对短电弧最少覆盖次数能够精准预测,预测误差小。

The hexagonal coverage model was studied,and based on the hexagonal model,the minimum coverage times of short arcs were optimized.Finally,the BP neural networkwas used to predict and verify the minimum times.Finally,it was concluded that the BP neural network could accurately predict the minimum coverage times of short arcs,with small prediction errors.