搜索资源列表
SVM
- 基于SVM的回归预测——上证指数开盘指数预测,包括数据的提取和预处理，选择回归预测分析最佳的SVM参数c&g，利用回归预测分析最佳的参数进行SVM网络训练-SVM-Based Forecasting
2016.09.04ABC-SVM
- ABC算法的源码找来逐行做了中文注释，并以优化SVM参数为例，进行学习。-ABC algorithm source code got to do a progressive Chinese comments, and to optimize the SVM parameters, for example, to learn.
SVM-parameter-selection
- 支持向量机SVM参数的设置，采用网格搜索法对C和G两个参数进行粗选和精选。-Support vector machine SVM parameter setting, using the grid search method for C and G for roughing and two parameters chosen.
SVM神经网络中的参数优化---提升分类器性能
- 对SVM神经网络进行参数优化，提升其分类器性能(The parameters of SVM neural network are optimized to improve the performance of classifier)
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.)
PSO-SVM
- 基于支持向量机负荷功率预测，使用粒子群算法进行参数寻优，供参考(Load Forecasting Based on Support Vector Machine)
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)