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An improved chaotic fruit fly optimization based on a mutation strategy for simultaneous feature selection and parameter optimization for SVM and its applications.

机译：基于变异策略的sVm同步特征选择和参数优化改进混沌果蝇优化及其应用。

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Fei Ye; Xin Yuan Lou; Lin Fu Sun;
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年度 2017
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1. Gaussian mutational chaotic fruit fly-built optimization and feature selection [J] . Zhang Xiang, Xu Yueting, Yu Caiyang, Expert Systems with Application . 2020,第Mara期

机译：高斯变异混沌果蝇的构建优化与特征选择
2. A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture [J] . Faris Hossam, Hassonah Mohammad A., Al-Zoubi Ala M., Neural computing & applications . 2018,第8期

机译：基于强大系统架构的特征选择和优化SVM参数的多韵度优化方法
3. An Optimization-Based Framework for Feature Selection and Parameters Determination of SVMs [J] . Seyyid Ahmed Medjahed, Mohammed Ouali, Tamazouzt Ait Saadi, International Journal of Information Technology and Computer Science . 2015,第5期

机译：基于优化的支持向量机特征选择和参数确定框架
4. Simultaneous feature with support vector selection and parameters optimization using GA-based SVM solve the binary classification [C] . Ye Fei, Han Min 2016 First IEEE International Conference on Computer Communication and the Internet . 2016

机译：支持向量选择和基于GA的SVM进行参数优化的同时功能可解决二进制分类问题
5. Simultaneous Variable and Feature Group Selection in Heterogeneous Learning: Optimization and Applications. [D] . Xiang, Shuo. 2014

机译：异构学习中同时变量和特征组的选择：优化和应用。
6. An improved chaotic fruit fly optimization based on a mutation strategy for simultaneous feature selection and parameter optimization for SVM and its applications [O] . Fei Ye, Xin Yuan Lou, Lin Fu Sun -1

机译：改进的基于变异策略的混沌果蝇优化支持向量机同时特征选择和参数优化及其应用
7. Smoke Image Recognition Method Based on the optimization of SVM parameters with Improved Fruit Fly Algorithm [O] . 2020

机译：基于改进果蝇算法优化SVM参数的烟雾图像识别方法

An improved chaotic fruit fly optimization based on a mutation strategy for simultaneous feature selection and parameter optimization for SVM and its applications.

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