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用遗传算法进行特征选取和svm参数优化的程序。遗传算法工具箱goat已在压缩包 需要安装libsvm就可以直接运行。数据集采用UCI中的german数据集，并完成归一化操作,Genetic algorithm with feature selection and parameter optimization svm procedures. Genetic Algorithm Toolbox in goat need to install libsvm package can be run dir
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genetic algorithm combine Ant colony optimization for feature selection,genetic algorithm combine Ant colony optimization for feature selection
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基因算法实现的特征提取，实现平台是matlab-feature selection with genetic algorithm
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paper about Feature selection and parameter optimization for support vector machines:
A new approach based on genetic algorithm with feature chromosomes
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摘 要: 本文基于Landsat7ETM+全色图像,以浙江省临安市大峡谷镇为研究区,进行基于遗传算法的遥感图像纹理特征选择的研究-Abstract: This article is based Landsat7ETM+ panchromatic image to the Grand Canyon Town, Lin' an City, Zhejiang Province, for the study area, genetic algorithm-based remote sensing
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Support Vector Machines, one of the new techniques for pattern classifi cation, have been widely used in many application areas. The kernel
parameters setting for SVM in a training process impacts on the classifi cation accuracy. Feature
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遗传算法用于模式分类的特征选择。以minstall数据库为例，介绍了详细应用例程。-Genetic algorithm for pattern classification feature selection. Minstall database, for example, describes in detail the application routines.
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A genetic algorithm based feature selection implementation. A wrapper based feature selection method.
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Genetic algorithm for feature selection
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Genetic algorithm feature selection by using SVM
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Genetic algorithm for feature selection using GLM
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Genetic algorithm feature selection by using Logistic Regression
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Feature selection by Genetic algorithm for classification
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Genetic algorithm for feature selection
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this code is not mine. this code are genetic algorithm for feature selection.
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Feature Selection Using Genetic Algorithm
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feature selection with genetic algorithm
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matlab平台下的一种遗传算法，可用于波段选择或者波段选择(A Genetic Algorithm-Based Feature Selection)
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Binary GA selection method
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用二进制遗传算法做特征选择，此算法效率高，选择的特征数目少。(The binary genetic algorithm is used for feature selection, which has high efficiency and few features.)
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