利用WOA算法优化libsvm中SVDD算法的参数

上传者: iqiukp | 上传时间: 2021-08-02 20:35:31 | 文件大小: 1.82MB | 文件类型: ZIP
台湾大学林智仁 (Lin Chih-Jen) 教授等开发设计的 libsvm 工具箱提供了SVDD算法的MATLAB接口,其中两个关键参数 c 和 g 直接影响SVDD的单值分类结果。 该代码通过引入鲸鱼优化算法(Whale Optimization Algorithm,WOA),实现对 libsvm 工具箱中的SVDD算法的参数优化,给出两个实例代码: 1. libsvm 工具箱提供的heart_scale data 2. 工业过程数据 WOA的具体描述可以参考以下文献: (1)Mirjalili S, Lewis A. The whale optimization algorithm[J]. Advances in engineering software, 2016, 95: 51-67. 该算法的提出者已经把代码开源在mathworks。 注:(1)该代码把 libsvm工具箱的svmtrain和svmpredict函数的名字分别改为libsvmtrain和libsvmpredict。 (2)WOA算法和其他群智能优化算法一样,容易陷入局部最优,若寻优结果出现异常,可以尝试多运行几次。

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