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featureselection
- feature seletion的几篇英文论文 采用pso等进化算法实现特征选取
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- 轴承全寿命数据的各种时域频域特征提取，包括17个时域和13个频域特征-Bearing a variety of life-cycle data in time domain frequency domain feature extraction
PSO-SVMface
- 基于PSO训练SVM的人脸识别 利用支持向量机在学习能力方面表现的良好性能,结合核主元分析特征提取方法,将其应用于人脸识别中,该方法在实验中表现了良好的识别性能,为人脸识别领域提供了一条新的识别途径-PSO-based SVM for face recognition training using support vector machine learning ability in the performance of good performance, combined with KPCA
SVMhybridsystem
- A distributed PSOSVM hybrid system with feature selection and parameter optimization -Abstract This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to improve the clas
FeatureSelection_MachineLearning
- 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
test
- 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
PSO-and-PSOEM-simulation
- 基于扩展记忆的粒子群优化算法（Particle Swarm Optimization based on memory）-This paper combines SVM with improved PSO (Particle Swarm Optimization with Extended Memory, PSOEM) and then builds PSOEM-SVM forecasting model. The PSOEM searches the solution space intelli
pso_featsel2
- 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
BPSO0f
- A PSO based feature selection implementation. A wrapper based feature selection method.
Another-Particle-Swarm-Toolbox
- 粒子群优化工具箱，采用Matlab编写的PSO程序工具箱-Development Notes for psopt toolbox Future plans (in no particular order): * Performance improvement: Automatically check for existence of constraints, skip boundary-checking if unconstrained. * Performance impro
PSO_TSP
- 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
PSO
- Rosenbrock函数优化属于无约束函数优化问题，其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部，且为优化算法提供的信息很少，因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性，专门提出了一种改进的PSO算法，该算法引入三角函数因子，利用三角函数具有的周期振荡性，使每个粒子获得较强的振荡性，扩大每个粒子的搜索空间，引导粒子向全局极小值附近靠近，避免算法过早地收敛，陷入局部最优，从而找到Rosenbrock函数的全局极小值。大量实验结果表明，该算法具有很好的优化性能，
PSO
- pso algorithm for feature selecting
vsbganbh
- 使用高阶累积量对MPSK信号进行调制识别，使用matlab实现智能预测控制算法，在MATLAB中求图像纹理特征，使用拉亚普诺夫指数的公式，信号处理中的旋转不变子空间法，基于分段非线性权重值的Pso算法。-Using high-order cumulants of MPSK signal modulation recognition, Use matlab intelligent predictive control algorithm, In the MATLAB image texture f
khdnrquq
- 部分实现了追踪测速迭代松弛算法，虚拟力的无线传感网络覆盖，包括最小二乘法、SVM、神经网络、1_k近邻法,LCMV优化设计阵列处理信号，在MATLAB中求图像纹理特征，基于分段非线性权重值的Pso算法。- Partially achieved tracking speed iterative relaxation algorithm, Virtual power wireless sensor network coverage, Including the least squares metho
qibktfea
- 基于分段非线性权重值的Pso算法，时间序列数据分析中的梅林变换工具，在MATLAB中求图像纹理特征，虚拟力的无线传感网络覆盖，采用热核构造权重，进行波形数据分析。- Based on piecewise nonlinear weight value Pso algorithm, Time series data analysis Mellin transform tool, In the MATLAB image texture feature, Virtual power wireless s
03-Fixed-Feature-Selection-using-PSO
- Feature Selection Using PSO
fquiitwz
- 包括主成分分析、因子分析、贝叶斯分析，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，数据模型归一化，模态振动，结合PCA的尺度不变特征变换(SIFT)算法，插值与拟合，解方程，数据分析，基于分段非线性权重值的Pso算法。- Including principal component analysis, factor analysis, Bayesian analysis, Including the MUSIC algorithm, ESPRIT algorithm ROOT
mhzgjtee
- 合成孔径雷达（SAR)目标成像仿真，采用了小波去噪的思想，主要是基于mtlab的程序，基于分段非线性权重值的Pso算法，计算加权加速度,用于信号特征提取、信号消噪。- Synthetic Aperture Radar (SAR) imaging simulation target, Using wavelet denoising thought, Mainly based on the mtlab procedures, Based on piecewise nonlinear weight v
code
- 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)