论文信息 - Electric Power Engineering Cost Predicting Model Based on the PCA-GA-BP

Electric Power Engineering Cost Predicting Model Based on the PCA-GA-BP

In this paper a hybrid prediction algorithm: PCA-GA-BP model is proposed. PCA algorithm is established to reduce the correlation between indicators of original data and decrease difficulty of BP neural network in complex dimensional calculation. The BP neural network is established to estimate the cost of power transmission project. The results show that PCA-GA-BP algorithm can improve result of prediction of electric power engineering cost.

Lei Wen | Xin Zhao | Jiake Yu

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