Paper
25 May 2023 Research on support vector regression optimization method based on fruit fly algorithm
Yan Xia, Shun Yu, Xueyan Hao, Yuxiu Li, Shasha Chen, Qingze Shen
Author Affiliations +
Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126364W (2023) https://doi.org/10.1117/12.2675421
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China
Abstract
Selection of parameters directly affects the performance of the prediction model, support vector regression machine which is an important part of the prediction model. The method of searching near the optimal point of the parameters effectively ensures the accuracy of the optimal parameters. Intelligent optimization uses fruit fly algorithm. Compared with other intelligent algorithms, fruit fly algorithm has the advantages of simple structure, few parameters, easy adjustment, easy understanding and implementation. The simulation experiment is carried out using the data set. The experimental results show that the prediction model proposed in this paper effectively improves the prediction accuracy of the data compared with other prediction models.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan Xia, Shun Yu, Xueyan Hao, Yuxiu Li, Shasha Chen, and Qingze Shen "Research on support vector regression optimization method based on fruit fly algorithm", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126364W (25 May 2023); https://doi.org/10.1117/12.2675421
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KEYWORDS
Mathematical optimization

Data modeling

Artificial neural networks

Support vector machines

Education and training

Evolutionary algorithms

Performance modeling

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