Study on the pricing model of power engineering materials based on GA-BPNN

Minquan Ye; Ye Ke; Huiying Wu; Jiawei Lin; Wenqi Ou; Yaqiong Liu; Cheng Xin

doi:10.1117/12.2646091

23 November 2022 Study on the pricing model of power engineering materials based on GA-BPNN

Minquan Ye, Ye Ke, Huiying Wu, Jiawei Lin, Wenqi Ou, Yaqiong Liu, Cheng Xin

Proceedings Volume 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022); 123024I (2022) https://doi.org/10.1117/12.2646091
Event: Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 2022, Guangzhou, China

Abstract

Facing the increasingly severe external environment, it is difficult to predict the material price fluctuations accurately, which makes it more difficult to control the transmission line engineering cost. This paper first analyzes the factors affecting the price of power engineering materials, sorts out 9 influencing factors; constructs the neural network power engineering material pricing model (GA-BPNN), optimizes the weight and threshold of BPNN, and selects 35 tower material prices as the training and test samples of the model. The results show that the average absolute percentage error of GA-BPNN results is 7.55%, which is better than BPNN model.

Citation Download Citation

Minquan Ye, Ye Ke, Huiying Wu, Jiawei Lin, Wenqi Ou, Yaqiong Liu, and Cheng Xin "Study on the pricing model of power engineering materials based on GA-BPNN", Proc. SPIE 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 123024I (23 November 2022); https://doi.org/10.1117/12.2646091

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