Search - genetic algorithm feature selection

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[Documents] Featureselectiontodiagnoseabusinesscrisisbyusingar DL : 0: 用遗传算法进行特征选择并优化支持向量机的核函数参数和惩罚因子-Using genetic algorithm feature selection and optimization of SVM kernel function parameters and punish factor
Update : 2025-02-17 Size : 197kb Publisher : wangrenjie
[AI-NN-PR] GAF DL : 0: Update : 2025-02-17 Size : 3kb Publisher : 左翼
[Other] PCAGA DL : 0: 一种基于改进主成分分析的人脸识别方法，利用遗传算法进行特征矢量选择-A principal component analysis based on an improved face recognition methods, the use of genetic algorithm feature vector selection
Update : 2025-02-17 Size : 265kb Publisher : 李宛霖
[Other] ICA DL : 0: 基于改进的独立分量分析的人脸识别方法，,本文将遗传算法(GeneticAlgorithm,GA)应用到独立分量的选择与优化中,从而在保证较高识别性能的前提下,获得最优的人脸特征子集-Based on an improved independent component analysis for face recognition method, this article will genetic algorithm (GeneticAlgorithm, GA) is applied to independent component selection and optimization, resulting in a higher recognition performance guarantee under the premise was the best facial feature subset
Update : 2025-02-17 Size : 130kb Publisher : 李宛霖
[Software Engineering] CAGA_O_F DL : 0: 关于链式智能体遗传算法用于数值优化和特征选择的论文，可以与我联系相互交流-On the chain-agent genetic algorithm for numerical optimization and feature selection of the papers, you can contact me exchange
Update : 2025-02-17 Size : 1.02mb Publisher : 李明
[matlab] featureselection DL : 1: 基因算法实现的特征提取，实现平台是matlab-feature selection with genetic algorithm
Update : 2025-02-17 Size : 7kb Publisher : allcy
[Graph program] Derya_Ozkan DL : 0: Feature Selection for Face Recognition Using a Genetic Algorithm
Update : 2025-02-17 Size : 340kb Publisher : Mohammed
[AI-NN-PR] GASVM DL : 2: 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 directly. UCI data sets used in the german data set, and complete normalization operation
Update : 2025-02-17 Size : 136kb Publisher : 覃茂运
[matlab] GAACO DL : 0: genetic algorithm combine Ant colony optimization for feature selection
Update : 2025-02-17 Size : 3kb Publisher : mehdi
[AI-NN-PR] paper DL : 0: paper about Feature selection and parameter optimization for support vector machines: A new approach based on genetic algorithm with feature chromosomes
Update : 2025-02-17 Size : 841kb Publisher : mar
[AI-NN-PR] A-GA-based-feature-selection-and-parameters-optim DL : 0: 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 selection is another factor that impacts classiﬁ cation accuracy. The objective of this research is to simultaneously optimize the parameters and feature subset without degrading the SVM classiﬁ cation accuracy. We present a genetic algorithm approach for feature selection and parameters optimization to solve this kind of problem.
Update : 2025-02-17 Size : 138kb Publisher : payal
[matlab] GA-SVM-FS DL : 0: Genetic algorithm feature selection by using SVM
Update : 2025-02-17 Size : 115kb Publisher : nero
[matlab] GA-LR-FS DL : 0: Genetic algorithm feature selection by using Logistic Regression
Update : 2025-02-17 Size : 113kb Publisher : nero
[Windows Develop] Binary-Genetic-Algorithm-Feature-Selection-(2).zi DL : 0: This submission contains (1) Journal Article on Zernike Moments, Genetic Algorithm, Feature Selection and Probabilistic Neural Networks. (2) MATLAB code to do Feature Selection Using Genetic Algorithm. NB: (i) This code is short BUT it works incredibly well since we employed GA Toolbox. (ii) You can run this code directly on your computer since the dataset herein is available in MATLAB software. (iii) Please do cite my publication to give credit to me (if you use this code). The citation is as follows: BABATUNDE Oluleye, ARMSTRONG Leisa J, LENG Jinsong and DIEPEVEEN Dean (2014). Zernike Moments and Genetic Algorithm: Tutorial and Application. British Journal of Mathematics & Computer Science. 4(15):2217-2236. Or BABATUNDE, Oluleye and ARMSTRONG, Leisa and LENG, Jinsong and DIEPEVEEN (2014). A Genetic Algorithm-Based Feature Selection. International Journal of Electronics Communication and Computer Engineering: 5(4) 889 905.-This submission contains (1) Journal Article on Zernike Moments, Genetic Algorithm, Feature Selection and Probabilistic Neural Networks. (2) MATLAB code to do Feature Selection Using Genetic Algorithm. NB: (i) This code is short BUT it works incredibly well since we employed GA Toolbox. (ii) You can run this code directly on your computer since the dataset herein is available in MATLAB software. (iii) Please do cite my publication to give credit to me (if you use this code). The citation is as follows: BABATUNDE Oluleye, ARMSTRONG Leisa J, LENG Jinsong and DIEPEVEEN Dean (2014). Zernike Moments and Genetic Algorithm: Tutorial and Application. British Journal of Mathematics & Computer Science. 4(15):2217-2236. Or BABATUNDE, Oluleye and ARMSTRONG, Leisa and LENG, Jinsong and DIEPEVEEN (2014). A Genetic Algorithm-Based Feature Selection. International Journal of Electronics Communication and Computer Engineering: 5(4) 889 905.
Update : 2025-02-17 Size : 1.37mb Publisher : abdalla
[Other] Binary-Genetic--Algorithm DL : 0: A Genetic Algorithm-Based Feature Selection on binary image
Update : 2025-02-17 Size : 1.37mb Publisher : fatemeh
[matlab] 01-Binary-Feature-Selection-using-GA DL : 0: Feature Selection Using Genetic Algorithm
Update : 2025-02-17 Size : 16kb Publisher : Far
[matlab] feature-selection-with-genetic-algorithm DL : 0: feature selection with genetic algorithm
Update : 2025-02-17 Size : 6kb Publisher : hamed
[matlab] Binary_Genetic_Algorithm_Hezy_2013 DL : 0: 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)
Update : 2025-02-17 Size : 1kb Publisher : pxy
[AI-NN-PR] Binary Genetic Algorithm Feature Selection (2) DL : 0: Binary GA selection method
Update : 2025-02-17 Size : 1.37mb Publisher : Jahs
[matlab] Feature Selection using GA DL : 1: 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.)
Update : 2025-02-17 Size : 3.19mb Publisher : xiaohe1234

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