A quality prediction model of PCB using BP-GA algorithm

Quanzhou Li; Zhenguo Liu; Ning Hu; Bingquan Chen; Shuqi Zhong

doi:10.1117/12.2680797

23 May 2023 A quality prediction model of PCB using BP-GA algorithm

Quanzhou Li, Zhenguo Liu, Ning Hu, Bingquan Chen, Shuqi Zhong

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126453H (2023) https://doi.org/10.1117/12.2680797
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

Impedance control is hard and important for high frequency Printed Circuit Board (PCB). The paper introduces a BP-GA algorithm that applies the optimization on the iteration process of weight parameters during the training process. The results shows that the model has a good performance in impedance prediction of PCB. The RMSE and SSE of this model are 4.083 and 7.003*e3, respectively.

Citation Download Citation

Quanzhou Li, Zhenguo Liu, Ning Hu, Bingquan Chen, and Shuqi Zhong "A quality prediction model of PCB using BP-GA algorithm", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126453H (23 May 2023); https://doi.org/10.1117/12.2680797

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