搜索资源列表
pso_bp
- 用pso优化bp初始权值，用于函数逼近。-Bp using PSO to optimize the initial weights for the function approximation.
PSOt_User_manual
- 粒子群算法（PSO）源代码工具箱。该工具箱将PSO算法的核心部分封装起来，提供给用户的为算法的可调参数，用户只需要定义好有关参数，即可自行优化。-Particle Swarm Optimization (PSO) source code toolbox. The toolkit will be the core of the PSO algorithm package, and available to users of the adj
PSO
- 这是在网上找到的一个关于粒子群优化算法的源程序，可以用来优化求函数的最优解，通用性很强。-This is in line to find a particle swarm optimization algorithm on the source, can be used to optimize the function for the optimal solution, GE strong.
SVM
- SVM的一个源程序，功能很强大，实现的结构很巧妙-SVM as a source, function is very powerful and realize the structure is a clever
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.
lssvmpso
- 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)
PSOandSVM
- 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
pso_svm
- svm model selection by pso
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
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
- 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-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)
psoSVM
- pso优化SVM分类，直接调用win32的SVM-pso optimal SVM classification, the SVM directly call win32
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
- 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
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
- 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)