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用pso优化svm
- 用pso优化svm
GASVM
- 用遗传算法改进支持向量机的算法，虽然比较老点，但是还是很有用。-This program is about SVM which is improved by PSO.I think it is a good algorithm
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-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
simple-PSO
- 简单的粒子群算法用以优化SVM的惩罚参数C和核参数g-Particle Swarm Optimization SVM parameters C and g
Multi-fault--based---WSVM-and-PSO
- 一种基于小波支持向量机和粒子群算法的多故障诊断技术。-Multi-fault classification based on wavelet SVM with PSO algorithm to analyze vibration signals from rolling element bearings
PSO-svm
- Particle swarm optimization algorithm based on support vector machine
PSO_SVM-With-LSO
- matlab code for pso-svm with lso
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
pso_svm
- 粒子群算法优化支持向量机参数，可用于分类-pso svm
PSO
- 使用粒子群算法PSO，优化支持向量机的参数，对数据进行分类。-The use of particle swarm algorithm PSO, optimize the parameters of SVM, to classify the data.
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-SVM
- 利于PSO优化的SVM，可用于解决软测量建模过程中的非线性问题(SVM, which is beneficial to PSO optimization, can be used to solve the nonlinear problems in soft sensor modeling)
cs-svm
- pso优化SVM分类，直接调用win32的SVM(PSO optimizes the SVM classification and calls directly the SVM of Win32)
pso-svm电力负荷预测
- 电力负荷预测是电力系统规划的重要组成部分，也是电力系统经济运行的基础，其对电力系统规划和运行都极其重要。利用粒子群算法优化支持向量机更加高效准确预测电力负荷。(The power load forecasting is an important part of the power system planning, and it is also the basis of the economic operation of the power system. It is very important
PSO优化LSSVM工具箱——分类部分
- PSO-LSSVM分类测试程序代码模板,PSO优化LSSVM工具箱——分类部分(PSO-LSSVM Classification Test Program Code Template, PSO Optimizing LSSVM Toolbox-Classification Part)
PSO优化SVM参数
- 粒子群算法优化libsvm参数，可以自行修改，亲测可用(Particle Swarm Optimization (PSO) optimizes the parameters of libsvm, which can be modified by itself and can be used for pro-test.)
pso-SVM
- 利用粒子群法寻找出c,g两个参数，从而达到优化支持向量机的目的
改进svm
- phog方法提取图像特征，svm支持向量机进行分类，分别有GA遗传算法和PSO粒子群优化算法进行寻优。(Phog method extracted image features, SVM support vector machine classification, respectively, GA genetic algorithm and PSO particle swarm optimization algorithm for optimization.)