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A distributed PSOSVM hybrid system with feature selection and parameter optimization
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This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to
improve the clas
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Feature selection methods for machine learning algorithms such as SVR, including one filter-based method (CFS) and two wrapper-based methods (GA and PSO). The gridsearch is for the grid search for the optimal hyperparemeters of SVR. The SVM_CV is for
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引入能直接处理连续型数据的邻域粗糙集约简模型，给出一种基于邻域粗糙集模型和粒子群优化的特征选择算法。仿真实验结果表明该算法可以选择较少的特征，改善分类的能力。-employs the neighborhood rough set reduction model which can process the numerical features directly without discretization. Then the particle fitness function in particl
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这是一个粒子群算法（PSO）用于特征选择的matlab函数，用户可以自由选择目标函数优化方向、种群大小、迭代次数等等。-this is an feature selection program with particle swarm optimization of matlab ,you can chose the Function optimization direction the scale of the swarm and the number of the iteration
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A PSO based feature selection implementation. A wrapper based feature selection method.
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利用PSO算法解决下面问题：
（1） 函数优化；
（2） TSP问题；
（3） 属性特征选择；-Use PSO algorithm to solve the following problems:
(1) Function Optimization
(2) TSP problem
(3) property feature selection
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Modified binary PSO for feature selection using SVM applied to
mortality prediction of septic patients
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Robust Optimal PSO based Wavelet Feature
Selection in MIMO OFDM Systems
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Feature Selection Using PSO
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This pso algorithm for text feature selection-This is pso algorithm for text feature selection
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是关于文章Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification的Matlab源代码，希望对从事这个方向的人员有所帮助。(Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification)
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