搜索资源列表
matlab作业
- 模式识别一份很好的作业,包括线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征,支持向量机-a very good operation, including linear classification; Minimum risk Bayesian classifier; Supervised learning method Hierarchical clustering analysis; K-L transform effective features, supp
LS_SVM最小二乘支持向量机Matlab源码
- 自编的最小二乘支持向量机Matlab代码，主要用于非线性回归
Roughset.rar
- 这是利用粗糙集理论做得最小值约简法代码,值得借鉴,This is the use of rough set theory has done the minimum code Reduction Act, it is worth drawing
SURFACESMATCHINGALGORITHMBASEDONGENETICALGORITHMAN
- 针对基于最小二乘法的ICP 曲面匹配算法难以处理待比较曲面的局部大变形问题, 提出一种改进算 法。即采用遗传算法确定曲面初始相对位置以保证匹配优化结果为全局最优值, 利用ICP 算法匹配结果构造 偏差阈值, 以此阈值过滤点群后再以最小二乘法进行匹配处理, 消除局部大变形影响, 获得合理的变换矩阵。以此变换矩阵变换初始点群再进行误差计算, 从而获得理想的匹配结果-Least square method based on the ICP surface matching algorithm
mRMRFeatureSelection
- mRMR_0.9_compiled最小冗余和最大相关特征选取源代码，-This package is the mRMR (minimum-redundancy maximum-relevancy) feature selection method, whose better performance over the conventional top-ranking method has been demonstrated on a number of data sets in recent pu
LSSVM
- 可以利用最小二乘支持向量机进行训练和预测-LSSVM for modeling and predicting.
GA_routing
- 遗传算法在路由优化中的应用:多服务质量的最小路径的算法.-Genetic Algorithm in Routing Optimization: Multi-service quality of the minimum path algorithm.
lwr
- 强局部加权回归算法由Cleveland[7]提出,主要利用局部观测数据对欲拟合点进行多项式加权拟合,并用最小二乘法进行估计.它综合了传统的局部多项式拟合,局部加权回归以及具有强鲁棒性的拟合过程 -Strong locally weighted regression algorithm by Cleveland [7] proposed, mainly using local observational data points on the polynomial fitting For wei
Steepest
- 计算梯度下降法计算极值，只能找到局部最小点。可以通过调整步长实现全局最小-Calculation of gradient descent method to calculate extreme value, can only find local minimum point. By adjusting the step size can achieve the global minimum
tezhengxuanzhe
- 利用最小互信息实现向量的特征选择，优化分类器的设计，原创-The use of mutual information to achieve the smallest feature selection vectors, optimizing the classifier design, originality
facedetection
- PCA、LDA人脸检测，压缩包里实现了PCA、LDA、最小距离分类器，人脸检测！-PCA, LDA face detection, compression bag to achieve the PCA, LDA, minimum distance classifier, face detection!
libsvm-mat-2.88-1
- 最小二乘支持向量机工具包，内嵌在Matlab环境中运行-LS—SVM tools
LMS-MATLAB
- LMS-MATLAB最小均方算法的Matlab源程序,模式识别中的分类器-LMS-MATLAB least-mean-square algorithm of Matlab source code, Pattern Recognition Classifier
genpls
- 利用遗传算法优选波段，将遗传算法与偏最小二乘法相结合-Band using the genetic algorithm optimization, genetic algorithms will be combined with partial least-squares
myGA
- 自适应遗传算法，可以通过简单的调用即可实现最大值和最小值等函数-Adaptive genetic algorithm, a simple call through to the achievement of maximum and minimum values, such as function
MAX-MINAntSystem
- 最大最小蚂蚁系统程序，供学习应用者参考。-Max-min ant system program for the learning applications in Taiwan.
cpslssvm
- 基于混沌粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法-Based on Chaotic Particle Swarm Optimization and Simulated Annealing least squares support vector machine parameter self-selection method
work
- 最小二乘支持向量机工具箱可用来分类 回归和预测很方便-this is a tool for the least vector machine,it can classier and regession.easy
ApplicationofLeastSquareSupportVectorMachine
- 基于粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法预测混沌序列-anessayaboutchaospredictionbyPSOLSSVM
Matlab偏最小二乘法用于判别分析
- MATLAB偏最小二乘法用于判别分析，亲测可用(The partial least squares method of MATLAB is used for discriminant analysis, and the pro-test is available.)