搜索资源列表
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)
GA-PSOPSO
- (粒子群算法)作为添加算子改进GA (遗传算法),供大家学习-(PSO), as the operator to add to improve the GA (genetic algorithm) for them to learn
PSO-optimization-LSSVM-parameters
- 用PSO优化LSSVM的参数，得到最优参数，使得分类更加准确。-Using the PSO the LSSVM the parameter, the optimal parameters, more accurate classification.
PSO-lssvm
- 用于优化最小二乘支持向量机的Matlab程序代码，可直接实用。-Used to optimize the least squares support vector machine in Matlab code can be directly useful.
PSO-LSSVM
- ：针对暖通空调(小，AC)系统，提出一种基于粒子群优化(Pso)算法和最小二乘支持向量机(LSSVM)的预测控 制方法。-: For HVAC (small, AC) system is proposed based on particle swarm optimization (Pso) algorithm and least squares support vector machine (LSSVM) predictive control methods.
Pso-LSsvm
- 该程序可用于LSSVM分类和预测，利用PSO进行参数优化，具有较好的预测效果-This program can be used LSSVM classification and prediction, use PSO for parameter optimization, better predict the effects of
Pso
- 粒子群LSSVM优化算法,利用LSSVMlabv1_8_R2009b_R2011a 数据库。-The particle swarm optimization algorithm of LSSVM
PSO-LSSVM
- C语言代码，用于粒子群（PSO）优化LSSVM，很有用的代码-C language code for Particle Swarm (PSO) to optimize LSSVM, very useful code
psolssvm_and_data
- 粒子群优化支持向量机的算法，主要是用于优化两个参数-PSO LSSVM algorithm
psoLSSVMcgForClass
- 粒子群优化最小二乘支持向量机参数，可用于多分类-pso lssvm psolssvm
PSO-LSSVM-Load-Forecast
- PSO-LSSVM负荷预测程序,程序非常的详细规范，适合初学者-PSO-LSSVM Load Forecast
lssvmtest
- PSO-LSSVM灰色组合模型代码，包括对训练集的预处理、参数寻优、模型确定，实现分类-PSO-LSSVM gray combined model code, including the pre-treatment of the training set, parameter optimization, the model is determined to achieve classification
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
LSSVMlabv1_8_R2009b_R2011a
- 现有的LSSVM工具箱，自带PSO优化，参数无需调整。(The existing LSSVM toolbox combine with PSO optimization)
Bayframe
- Using the PSO the LSSVM the parameter, the optimal parameters, more accurate classification.
PSO-lssvm
- 利用PSO-LSSVM算法实现模式识别功能(Using PSO-LSSVM algorithm to realize pattern recognition)
PSO-LSSVM
- PSO-LSSVM算法的matlab实现，利用PSO算法对LSSVM模型的初始参数求解，以期望得到最好的模型。(PSO-LSSVM algorithm is implemented in matlab, and PSO algorithm is used to solve the initial parameters of LSSVM model in order to get the best model.)
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)