A method for parameter optimization about the -SVR delay prediction

Liu Peiyan

doi:10.1117/12.2622393

11 November 2021 A method for parameter optimization about the ε-SVR delay prediction

Liu Peiyan

Proceedings Volume 12076, 2021 International Conference on Image, Video Processing, and Artificial Intelligence; 120760Y (2021) https://doi.org/10.1117/12.2622393
Event: Fourth International Conference on Image, Video Processing, and Artificial Intelligence (IVPAI 2021), 2021, Shanghai, China

Abstract

The model of time delay prediction and the accuracy of parameters have great influence on power system network control,In this paper, a support vector machine (SVM) time delay modeling method based on bayesian evidence frame is proposed. This method treats the delay node as a "hidden layer", The time delay prediction model is established by using SVM regression theory. The gaussian kernel function is used in this model, and the parameters are optimized by using three criteria of bayesian evidence framework. This method can change the model structure, identify and optimize the parameters flexibly. In this paper, the model modeling and parameter optimization of delay prediction are completed.

Citation Download Citation

Liu Peiyan "A method for parameter optimization about the ε-SVR delay prediction", Proc. SPIE 12076, 2021 International Conference on Image, Video Processing, and Artificial Intelligence, 120760Y (11 November 2021); https://doi.org/10.1117/12.2622393

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