搜索资源列表
SVM
- 先实用熵权法对建模参数进行权重分析，在用svm算法进行训练预测(Firstly, the weights of the parameters are analyzed by entropy weight method, and the training is predicted by SVM algorithm)
ga_SVM_1
- 结合遗传算法和SVM，实现特征选择和SVM参数优化同时进行(Combining genetic algorithm and SVM, feature selection and SVM parameter optimization are carried out simultaneously)
svm
- MATLAB平台提取一段语音信号的mfcc参数(MATLAB mfcc feature extract)
FA
- 使用SVM算法进行分类，其中采用萤火虫算法进行SVM参数的优化。(SVM algorithm is used for classification, which uses the firefly algorithm to optimize the SVM parameters.)
SVM
- 运用SVM训练分类,并给出标准化以及网络搜索方法确定SVM各参数(use SVM to train and classify samples)
SVMcg
- LIBSVM的参数寻优，主要是自动计算惩罚系数和核函数中的gamma函数(The parameter optimization of LIBSVM is mainly to automatically calculate the penalty coefficient and the gamma function in the kernel function)
ga-svm
- 用遗传算法优化支持向量回归机C、g、p参数(Optimization of C, G, P parameters of support vector regression machine by genetic algorithm)
PSO-SVM
- 用粒子群算法优化SVM中惩罚系数C和高斯核函数g的参数(Using particle swarm optimization to optimize parameters of penalty coefficient C and Gauss kernel function g in SVM)
SVDDcg
- SVDD参数C和g的网格优化，根据faturo大神的SVM参数优化改编(Grid optimization of SVDD parameters C and G)
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.)
SVM做图片处理
- 使用SVM算法对CIFAR-10图片数据集进行分类，包括模型的训练，测试和参数的调优(Using SVM algorithm to classify CIFAR-10 image data sets, including model training, testing and parameter tuning)
CS-SVM
- cs算法优化svm的惩罚参数c和核函数的参数gamma。(The CS algorithm optimizes the penalty parameter C of SVM and the parameter gamma of kernel function.)
PSO-SVM
- 粒子群算法优化支持向量机的惩罚参数c和rbf的参数gamma。(Particle swarm optimization (PSO) optimizes the penalty parameters c and RBF of SVM gamma.)
量子行为的粒子群算法-SVM
- 改进量子粒子群算法，用于优化支持向量机参数，用IRIS数据验证(An improved quantum particle swarm optimization (QPSO) algorithm is used to optimize the parameters of support vector machine (SVM), which is validated by IRIS data.)
SVM神经网络中的参数优化
- SVM神经网络中的参数优化---如何更好的提升分类器的性能(Parameter Optimization in SVM Neural Network--How to Improve the Performance of Classifie)
GA_RBF_SVM
- 粒子群优化SVM参数 遗传算法优化SVM参数(Particle Swarm Optimization of SVM Parameters)
SVM建模
- 介绍三种参数的SVM建模，分别预测股票价格(This paper introduces three parameters of SVM modeling, and predicts stock price separately.)
PSO-SVM
- 利用粒子群优化算法对支持向量机中的核函数参数和惩罚参数进行优化是非常有效的手段，可以大大提高鲁棒性。实际过程中读者可通过下载我上传的代码，简单进行修改和阅读附件论文即可快速掌握相关方面的知识，快速使用这一方法。(Particle swarm optimization (PSO) is a very effective method to optimize the kernel function parameters and penalty parameters of SVM, which can
pso-SVM
- 利用粒子群法寻找出c,g两个参数，从而达到优化支持向量机的目的
qpsoSVMcgForClass
- 利用量子粒子群优化svm参数得到高精度svm模型(Using quantum particle swarm optimization (QPSO) to optimize SVM parameters, a high-precision SVM model is obtained)