搜索资源列表
naolou
- 包括最小二乘法、SVM、神经网络、1_k近邻法,可以提取一幅图中想要的目标，重要参数的提取。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Target can be extracted in a picture you want, Extract important parameters.
fiehie_v57
- 添加噪声处理，包括最小二乘法、SVM、神经网络、1_k近邻法,利用贝叶斯原理估计混合logit模型的参数。- Add noise processing, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Bayesian parameter estimation principle mixed logit model.
149373c
- pso-svm利用回归预测分析最佳的参数进行SVM网络训练 分析结果- pso-svm Analysis of the best use of parametric regression prediction network training SVM analysis results
chapter_GA
- SVM的参数优化——如何更好的提升分类器的性能-SVM parameter optimization- how to better enhance the performance of classifiers
rough-set-codes
- 这是天津大学胡清华老师在粗糙集邻域领域做的最经典的源码，同学们可以在此基础上学习和修改，入口程序已经写好，需要其他方法可以自己添加，MAIN.m是入口程序，参数的意思在子函数里讲的很明白，调用了featureselect_FW_fast.m用来属性约简，几个clsf_dpd文件是使用不同的距离公式来计算属性重要度，选择得到属性结果，使用crossvalidate.m十折交叉算法来计算计算算法精度，该段代码调用了几个分类器，C4_5.m是决策树，KNN.m是最近邻分类器，NEC.m是类似于KNN的
CV_KNN
- 使用交叉验证对KNN算法和SVM算法进行参数优选，其中KNN使用matlab自带的knnclassify，svm使用LIBsvm-Using cross validation for the choosing of hyperparameter for KNN and SVM
psoSVM
- 利用粒子群优化算法优化支持向量机的惩罚参数Cg，提高效率、准确率。-Particle swarm optimization algorithm to optimize SVM penalty parameter Cg, improve efficiency and accuracy.
2016.09.09Firefly
- 以优化SVM算法的参数c和g为例，对FA（萤火虫算法）MATLAB源码进行了逐行中文注解。是很好的学习材料。- SVM algorithm to optimize the parameters c and g as an example, FA (firefly algorithm) MATLAB source was progressive Chinese annotations. It is a good learning materials.
2016.09.08GWO
- 以优化SVM算法的参数c和g为例，对GWO算法MATLAB源码进行了逐行中文注解。 是很好的学习材料。-SVM algorithm to optimize the parameters c and g, for example, for GWO algorithm MATLAB source was progressive Chinese annotations. It is a good learning materials.
2016.09.05CS_PSO
- 以优化SVM算法的参数c和g为例，对CS算法MATLAB源码进行了逐行中文注解。-SVM algorithm to optimize the parameters c and g, for example, the CS algorithm MATLAB source was progressive Chinese annotations.
2016.10.04GSA_SVM
- 以优化SVM算法的参数c和g为例，对GSA（引力搜索算法）MATLAB源码进行了详细中文注解。是很好的学习材料。- In order to optimize SVM algorithm parameters c and g as an example, the GSA (Gravitational Search Algorithm) MATLAB source code for a detailed Chinese annotation. Is a good learning materia
SVM_GUI_3.1[mcode]
- faruto编写的基于libsvm3.1的SVM_GUI，可用于SVM分类及相关回归分析，已经集成了GA及PSO参数寻优算法及PCA算法，提供的是GUI版本及与之对应的源码版本-SVM_GUI and the program of SVM_Code,base on the version of the Libsvm 3.1，using the GA and PSO algorithm to improve
SVM_Code_GUI
- faruto编写的基于libsvm3.1的SVM_GUI，可用于SVM分类及相关回归分析，已经集成了GA及PSO参数寻优算法及PCA算法，提供的是GUI版本及与之对应的源码版本-SVM_GUI and the program of SVM_Code,base on the version of the Libsvm 3.1，using the GA and PSO algorithm to improve
svm_cgtest
- 利用网格搜索，来自行选择SVM的参数，主要对C和sigma-use net search to choose the C and sigma
bpfit
- 使用BP神经网络实现一个函数的拟合，效果没有SVM和RBF的效果好，不顾还是可以用的，注意某些参数的调节。-Use BP neural network function fitting, no effect of SVM and RBF effect, despite still can be used, pay attention to adjust certain parameters.
444
- 算法流程：选定训练集和测试集-数据预处理-交叉验证选择最佳参数-分类准确率-预测-利用最佳参数训练SVM-Algorithm flow: selected training set and test set- data preprocessing- cross-validation selection of the best parameters- classification accuracy- prediction- training SVM using the best parameter
punbiu
- 可实现对二维数据的聚类，具有丰富的参数选项,包括最小二乘法、SVM、神经网络、1_k近邻法。- Can realize the two-dimensional data clustering, It has a wealth of parameter options, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
pso-optimization
- 基于粒子群（pso）的参数寻优，可以做BP和svm的参数寻优。-Based on Particle Swarm (pso) parameter optimization, BP and svm you can do the parameter optimization.
noubeng_v20
- BP神经网络的整个训练过程,包括最小二乘法、SVM、神经网络、1_k近邻法,具有丰富的参数选项。- The entire training process BP neural network, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, It has a wealth of parameter options.
SVMcgForRegress
- SVM回归参数寻优函数，SVMCGFORREGSRE-SVM u56DE u5F52 u53C2 u6570 u5BFB u4F18 u51FD u6570 uFF0CSVMCGFORREGSRESS