Parameter optimization of support vector machine based on improved sparrow search algorithm

Xiling Xue; Zhihong Sun

doi:10.1117/12.2671587

16 March 2023 Parameter optimization of support vector machine based on improved sparrow search algorithm

Xiling Xue, Zhihong Sun

Proceedings Volume 12593, Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022); 125930E (2023) https://doi.org/10.1117/12.2671587
Event: 2nd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022), 2022, Guangzhou, China

Abstract

Support vector machine is widely used in various fields because of its excellent generalization performance. However, the selection of its parameters directly affects the accuracy of the final results. An improved sparrow search algorithm (ISSA) is proposed to optimize the parameters of support vector machines. The ISSA algorithm improves the original algorithm from three aspects: replacing random method with optimal point set initialization population, changing the explorer position update formula, and adopting adaptive mutation mechanism. The UCI standard data set was selected to compare the SVM optimized by ISSA algorithm with the original SVM, the SVM optimized by the genetic algorithm, the particle swarm optimization algorithm and the basic sparrow search algorithm, respectively. The experimental results show that the classification accuracy of the SVM optimized by ISSA algorithm is significantly improved, and the generalization performance is further improved.

Citation Download Citation

Xiling Xue and Zhihong Sun "Parameter optimization of support vector machine based on improved sparrow search algorithm", Proc. SPIE 12593, Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022), 125930E (16 March 2023); https://doi.org/10.1117/12.2671587

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KEYWORDS

Support vector machines

Particle swarm optimization

Mathematical optimization

Machine learning

Data modeling

Genetic algorithms

Education and training

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