搜索资源列表
pso-svm
- 利用PSO优化SVM，利用分组式训练方法提高算法速度
PSOandSVM.rar
- PSO与SVM如何结合及其实际应用 是一篇把这两个算法结合使用的很好文章,PSO and SVM and its practical application of how to combine these two algorithms is a combination of a good article
lssvmpso.rar
- 智能微粒群为最小二乘支持向量机调参的示例程序（LSSVM+PSO）,Intelligent Particle Swarm and least squares support vector machine modeling(LSSVM+ PSO)
psoSVM
- pso优化SVM分类，直接调用win32的SVM-pso optimal SVM classification, the SVM directly call win32
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_solution_to_economic_dispatch
- 利用PSO算法解决经济批量分发问题的matlab源代码，求解多目标函数与成本最小值。-Use PSO algorithm to solve economic volume distribution of the matlab source code for solving multi-objective cost function and the minimum value.
libsvm-mat-2[1].89-3
- svm多分类器，包括多分类和GA算法和PSO算法优化的SVM-svm multi-classifier, including the multi-classification and GA algorithm and PSO algorithm for optimization of SVM
PSO
- 用粒子群算法优化RBF网络权值，根据适应度值对个体最优和群体最优进行更新-Particle Swarm Optimization with RBF network weights, according to the best fitness value of individuals and groups to update the best
pso_svm
- svm model selection by pso
pso-lsssvm
- 用粒子群算法选择支持向量机的参数（来自于互联网，在此感谢原创）-With the particle swarm algorithm to select the parameters of support vector machines (from the Internet, would like to thank the original)
6155C_V1.2(20081218)
- 该代码用于分类，主要是基于pso优化svm参数的分类代码-The code used for classification, mainly based on pso classification code optimization svm parameters
pso-svm-work
- ANN classification using PSO
Pso-svm
- 该程序可用于SVM分类和预测，其中利用PSO优化参数，具有较好的预测效果-This program can be used SVM classification and prediction, in which PSO to optimize the parameters, with better prediction results
PSO-SVM
- 利用粒子群算法对支持向量机的惩罚因子等进行优化。方法简便有效- Particle swarm optimization for SVM punishment factor optimization. The method is simple and effective
SVM 参数优化
- GA、PSO、GRID 搜索，支持向量机的参数优化方式
PSO-SVM
- 利用PSO算法优化SVM向量机参数。测试指标为MAPE和均方根误差。-Optimization of SVM Parameters by PSO Algorithm. The test indexes are MAPE and root mean square error.
pso-svm one output
- 实现多输入单输出的预测功能，预测精度高，程序操作简单，易于修改应用。(The prediction function of multi input and single output is realized. The prediction accuracy is high, the program operation is simple, and it is easy to modify the application.)
PSO-SVM
- 将改进的粒子群算法和GA与SVM相结合，通过参数寻优构建新模型完成对空气质量指数的预测(The improved particle swarm optimization and genetic algorithm are combined with SVM. The prediction of air quality index (AQI) is completed by constructing a new model by parameter optimization.)
PSO-SVM
- 基于支持向量机负荷功率预测，使用粒子群算法进行参数寻优，供参考(Load Forecasting Based on Support Vector Machine)
PSO SVM粒子算法优化的支持向量机
- 使用PSO优化SVR支持向量机模型的代码，有详细的输出及输出，以及代码说明(Use PSO to optimize SVR support vector machine model code, with detailed output and output, as well as code descr iption)