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psosvm
- 利用粒子群演算法來實作支援向量機，藉此來改善支向機之缺點如對大量資料的預測不準確，速度慢等。-utilization Particle Swarm Optimization to constructed support vector machine.
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
psoSVM
- pso算法优化向量机，可用于实现参数的最优化实现-pso algorithm optimization vector machine can be used to achieve the optimum parameters to achieve
SVMhybridsystem
- A distributed PSOSVM hybrid system with feature selection and parameter optimization -Abstract This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to improve the clas
psosvm
- 一种利用稻田算法来优化支持向量机的程序，能实现支持向量机的参数优化-algorithm Using a paddy field to optimization support vector machine procedure, can realize the support vector machine parameters optimization
psoSVM
- 实现pso优化svm的程序。并有实验数据作了说明-Achieve pso to optimize the procedure of the svm. And experimental data gave an explanation
psosvm
- 基于粒子群优化的支持向量机风电功率预测，采用PSO对支持向量机算法进行优化。-Based on PSO support vector machine wind power prediction, using PSO support vector machine algorithm for optimization.
psosvm
- 将SVM与粒子群算法(PSO)相结合,充分利用SVM在处理小样本回归问题上具有的独特优越性及PSO全局搜索优化等特点-SVM and particle swarm optimization algorithm (PSO) combined with SVM, makes full use of the unique superiority and the PSO global search optimization features in small sample regression prob
psosvm
- 关于遗传算法的SVM的代码，有的需要自己改改，很不错的。-Code about genetic algorithm of SVM, some need to change myself, very good.
PSOSVMmain
- PSOSVM為粒子群參數最佳化演算法搭配支撐向量機，此演算法結構簡單，易於理解，適合初學者使用。-PSOSVM parameters for the particle swarm optimization algorithm with support vector machine, this algorithm is simple structure, easy to understand for beginners.
psoSVM
- 一种自适应粒子群算法，MATLAB直接编译通过-An adaptive particle swarm algorithm, MATLAB directly compiled through
psoSVM
- 粒子群优化支持向量机代码，可用于预测分析(Particle swarm optimization support vector machine code, can be used for predictive analysis)
psosvm
- 粒子群优化支持向量机对电池寿命进行预测，利用粒子群优化支持向量机参数(Particle swarm optimization support vector machine is used to predict battery life, and particle swarm optimization is used to support SVM parameters)
psoSVM
- 粒子群算法入门必备，超详细。 在全局版的标准粒子群算法中，每个粒子的速度的更新是根据两个因素来变化的，这两个因素是：1. 粒子自己历史最优值pi。2. 粒子群体的全局最优值pg。如果改变粒子速度更新公式，让每个粒子的速度的更新根据以下两个因素更新，A. 粒子自己历史最优值pi。B. 粒子邻域内粒子的最优值pnk。其余保持跟全局版的标准粒子群算法一样，这个算法就变为局部版的粒子群算法。(The introduction of particle swarm algorithm is essent