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pso_svm
- svm model selection by pso
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-With-LSO
- matlab code for pso-svm with lso
PSO_SVM
- SVM用于分类时的参数优化，粒子群优化算法，用于优化核函数的c,g两个参数-SVM PSO
pso_svm
- 粒子群算法优化支持向量机参数，可用于分类-pso svm
PSO_SVM
- 基于粒子群算法的SVM工具箱及程序，实现最优分类的程序，简单实用的程序-Particle swarm optimization algorithm based on the SVM toolbox and procedures, to achieve the best classification procedures, simple and practical procedures
PSO_SVM
- 带有PCA之后的数据集，并用粒子群（PSO）优化支持向量机（SVM）的分类器进行分类，并给出分类识别率。-After the data set with PCA, and use the particle swarm optimization (PSO) to optimize the support vector machine (SVM) classifier for classification, and classification recognition rate is given.
PSO_SVM
- 用粒子群改进支持向量机的智能算法，你可以拿来做预测分析，-Using particle swarm improvement intelligent algorithm of support vector machine (SVM), you can be used to do prediction