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psoSVM
- 利用微粒群算法（pso）优化支持向量机（SVM）的参数-c,-g-Using pso optimized support vector machine parameters-c,-g
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
pso_svm
- 该文件为粒子群算法优化支持向量机模型参数的matlab代码 支持向量机模型为专门用于处理不平衡数据的成本控制型支持向量机模型 用粒子群算法优化模型中的三个主要参数：C1、C2、sigma-The file is in particle swarm optimization parameters of support vector machine model matlab code for support vector machine model designed for use with
pso-svm-work
- ANN classification using PSO
PSO-SampEn--ApproxiEN-RVM
- PSO：粒子群优化算法，用C++和matlab两种语言实现的 RVM:相关向量机，比SVM更高级些 样本熵和近似熵：计算动态系统中时间序列的一个重要手段-PSO: PSO algorithm, using C++ and matlab realization of two languages RVM: relevance vector machine, some more advanced than SVM Sample entropy and approximate ent
gaSVMcgForRegress
- Matlab使用pso进行svm参数优化寻优-Matlab were svm parameter optimization using pso optimization
psoSVMcgForRegress
- Matlab使用pso进行svm参数优化寻优-Matlab were svm parameter optimization using pso optimization
1-s2.0-S1568494613001361-main.pdf
- Modified binary PSO for feature selection using SVM applied to mortality prediction of septic patients
vvtxtnnx
- 包含位置式PID算法、积分分离式PID，基于分段非线性权重值的Pso算法，添加噪声处理，使用拉亚普诺夫指数的公式，包括最小二乘法、SVM、神经网络、1_k近邻法。- It contains positional PID algorithm, integral separate PID, Based on piecewise nonlinear weight value Pso algorithm, Add noise processing, Raya Punuo Fu index using t
newthreepsotosvm
- 用粒子群算法解决SVM问题的代码，希望对大家有帮助！-Using particle swarm optimization (pso) algorithm to solve the problem of SVM code, I hope it can help you!
SVM_GUI_3.1[mcode]
- faruto编写的基于libsvm3.1的SVM_GUI，可用于SVM分类及相关回归分析，已经集成了GA及PSO参数寻优算法及PCA算法，提供的是GUI版本及与之对应的源码版本-SVM_GUI and the program of SVM_Code,base on the version of the Libsvm 3.1，using the GA and PSO algorithm to improve
SVM_Code_GUI
- faruto编写的基于libsvm3.1的SVM_GUI，可用于SVM分类及相关回归分析，已经集成了GA及PSO参数寻优算法及PCA算法，提供的是GUI版本及与之对应的源码版本-SVM_GUI and the program of SVM_Code,base on the version of the Libsvm 3.1，using the GA and PSO algorithm to improve
chapter_PSO
- 用psoSVMcgForClass.m实现对分类问题用PSO来优化SVM参数的问题-Use psoSVMcgForClass. M for classification problems using PSO to optimize parameters of SVM
PSO-SVM
- 用粒子群算法PSO,优化支持向量机SVM，提高故障分类精度。-Using particle swarm optimization (PSO, optimization of support vector machine SVM, improve the fault classification accuracy.
PSO--svm
- 用简单粒子群算法PSO优化支持向量机SVM，提高故障分类精度。-Using particle swarm optimization (PSO, optimization of support vector machine SVM, improve the fault classification accuracy.
PSO-LSSVM
- 利用改进PSO算法对LS-SVM进行参数优化，参数 和 的取值范围分别为 和 ，粒子种群数量为 25，迭代次数为 100，惯性权重因子 和 取0.9和0.1，学习因子 和 均取2。-The parameters of PS-SVM are optimized by using the improved PSO algorithm. The range of parameters is 25, the number of particles is 25, the number of iterati
PSO-LSSVM-CLASS
- 经过优化得到的参数组，利用优化的参数构建LS-SVM模型，然后使用训练样本对其进行训练。 利用训练后的LS-SVM对测试样本进行分类，-The optimized parameters are used to construct the LS-SVM model with optimized parameters, and then trained using training samples. Using the trained LS-SVM to classify the tes
PSO-SVM
- 用粒子群算法优化SVM中惩罚系数C和高斯核函数g的参数(Using particle swarm optimization to optimize parameters of penalty coefficient C and Gauss kernel function g in SVM)
10526349 (2)
- 使用粒子群算法优化支持向量回归，实现预测功能(Support Vector Regression Using Particle Swarm Optimization)