Some data were chosen to train the network model. The results show that the convergence rate was faster, the model had higher accuracy, the average absolute error can reach 0.002 7%.
对现场收集的数据进行仿真学习,结果表明,该预测模型收敛速度快,具有较高的预测精度,平均绝对误差可达到0.002 7%。
Some data were chosen to train the network model. The results show that the convergence rate was faster, the model had higher accuracy, the average absolute error can reach 0.002 7%.
对现场收集的数据进行仿真学习,结果表明,该预测模型收敛速度快,具有较高的预测精度,平均绝对误差可达到0.002 7%。
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