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SVM parameters and feature selection optimization based on improved whale algorithm
更新时间：2025-05-26

    • SVM parameters and feature selection optimization based on improved whale algorithm

    • “In the field of data classification, researchers have proposed an improved whale optimization algorithm to synchronously optimize the SVM feature selection model, effectively improving the convergence speed and computational accuracy of the algorithm, reducing the feature dimension, and achieving significant data classification results.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 10, Pages: 2952-2963(2023)
    • 作者机构：

      1.宁夏大学 信息工程学院，银川 750021

      2.宁夏大数据与人工智能省部共建协同创新中心，银川 750021

      3.国网宁夏电力有限公司 电力科学研究院，银川 750011

    • DOI：10.13229/j.cnki.jdxbgxb.20211348    

      CLC： TP301.6

    • Received：07 December 2021，

      Published：01 October 2023

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  • GUO Hui,FU Jie-di,LI Zhen-dong,et al.SVM parameters and feature selection optimization based on improved whale algorithm[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(10):2952-2963. DOI： 10.13229/j.cnki.jdxbgxb.20211348.

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