In order to improve the prediction accuracy of grounding grid corrosion rate,a combined prediction method of grounding grid corrosion rate was proposed.Firstly,the SSA algorithm is used to optimize the SVM,and the SSA-SVM corrosion prediction rate model of the grounding grid is established.Then,the prediction residual of the SSA-SVM model is modified using the 6-11-1 BP neural network,and a combined prediction model of the grounding grid corrosion rate based on BP neural network and SSA-SVM is established.Finally,an example is analyzed by using the experimental data of grounding grid corrosion.The results show that the root-mean-square error,average relative error and correlation coefficient of the prediction results of the combined model of grounding grid corrosion rate proposed in this paper are 0.192,4.98% and 0.974 6,respectively.The model stability,prediction accuracy,and correlation between the prediction results and the actual values are better than other models,which verifies the correctness and superiority of the model.
NETL
NSTL
维普
万方数据
