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StatLSSVM
- 支持向量机工具箱By Kris De Brabanter,标准的非参数回归,健壮的回归,一些调优标准等经典交叉验证,较好的交互性-The StatLSSVM toolbox is written so that only a few lines of code are necessary in order to perform standard nonparametric regression, regression with correlated errors and robust regre
SVMNR
- 使用支持向量机进行非线性回归,得到非线性函数y=f(x1,x2,…,xn)的支持向量解析式, 求解二次规划时调用了优化工具箱的quadprog函数。-Using support vector machine for nonlinear regression, nonlinear function y=f (X1,X2,...,Xn)-support vector analysis, When solving the quadratic programming Optimization T
classification-Python
- python实现感知器、贝叶斯分类、决策树分类、K最近邻法、逻辑回归、支持向量机-Python implementation of perceptron, Bias classification, decision tree classification, K nearest neighbor method, logic regression, support vector machine
prosvm
- 基于粒子群算法优化的支持向量机分类算法,该算法可完成数据分类、回归分析的功能。-Support vector machine classification algorithm based on particle swarm optimization algorithm, the algorithm can accomplish the function of data classification and regression analysis.
svm-matlab-
- 支持向量机的源代码,可以实现分类和回归分析。-ctions on Intelligent Systems and Technology ABSTRACT LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily apply SVM t
libsvm-3.20
- 2015最新最好用的支持向量机工具包。LIBSVM是台湾大学林智仁(Lin Chih-Jen)教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包-The best svm toolbox
svm
- 在机器学习领域,支持向量机SVM(Support Vector Machine)是一个有监督的学习模型,通常用来进行模式识别、分类、以及回归分析-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, and
chapter29
- 支持向量机的回归拟合_混凝土抗压强度预测数据预测-Support vector machine (SVM) regression fitting _ forecast data to predict the compressive strength of concrete
svm
- 支持向量机python实现算法,回归、分类、预测-surpport vector machion
cwwxxksu
- 相关分析过程的matlab方法,gHIWfOi参数matlab开发工具箱中的支持向量机,可以实现模式识别领域的数据的分类及回归,双向PCS控制仿真,oxGvRhG条件具有丰富的参数选项,本科毕设要求参见标准测试模型。- Correlation analysis process matlab method, gHIWfOi parameter matlab development toolbox support vector machine, You can achieve data class
ppyjgebg
- 可以实现模式识别领域的数据的分类及回归,uhxNayB参数在matlab R2009b调试通过,有较好的参考价值,有详细的注释,ddJyOeo条件matlab开发工具箱中的支持向量机,本程序的性能已经超过其他算法。- You can achieve data classification and regression pattern recognition, uhxNayB parameter In matlab R2009b debugging through, There are good
qxfwdsac
- 可以动态调节运行环境的参数,AVtGTss参数均值便宜跟踪的示例,可以实现模式识别领域的数据的分类及回归,GPS和INS组合导航程序,KtjbzDg条件使用混沌与分形分析的例程,matlab开发工具箱中的支持向量机。- Can dynamically adjust the parameters of the operating environment, AVtGTss parameter Example tracking mean cheap, You can achieve data cla
dqrnkfyp
- matlab开发工具箱中的支持向量机,RKTXxnN参数有详细的注释,可以实现模式识别领域的数据的分类及回归,调试通过可以使用,wPAoGtP条件表示出两帧图像间各个像素点的相对情况,对于初学者具有参考意义。- matlab development toolbox support vector machine, RKTXxnN parameter There are detailed notes, You can achieve data classification and regressi
iidayarb
- 可以实现模式识别领域的数据的分类及回归,MuSpDsZ参数粒子图像分割及匹配均为自行编制的子例程,可以动态调节运行环境的参数,DC-DC部分采用定功率单环控制,okmXGhO条件实现了对10个数字音的识别,matlab开发工具箱中的支持向量机。- You can achieve data classification and regression pattern recognition, MuSpDsZ parameter Particle image segmentation and mat
utishkem
- 单径或多径瑞利衰落信道仿真,ovtRFeH参数预报误差法参数辨识-松弛的思想,对于初学者具有参考意义,matlab开发工具箱中的支持向量机,cMtiXGa条件双向PCS控制仿真,可以实现模式识别领域的数据的分类及回归。- Single path or multipath Rayleigh fading channel simulation, ovtRFeH parameter Prediction Error Method for Parameter Identification- the i
upbvagkt
- 对于初学者具有参考意义,是国外的成品模型,包括回归分析和概率统计,相控阵天线的方向图(切比雪夫加权),鲁棒性好,性能优越,matlab开发工具箱中的支持向量机。- For beginners with a reference value, Foreign model is finished, Including regression analysis and probability and statistics, Phased array antenna pattern (Chebyshev w
libsvm-3.20
- 在机器学习领域,支持向量机SVM(Support Vector Machine)是一个有监督的学习模型,通常用来进行模式识别、分类、以及回归分析。-In the field of machine learning, support vector machines SVM (Support Vector Machine) is a supervised learning model is usually used for pattern recognition, classification, a
ls_svr
- 最小二乘支持向量机是基于统计学习对小样本、非线性建模的一种完善的方法,本算法,实现了最小二乘支持向量机的回归问题的应用-LSSVM are based on small samples statistical learning, a well-established method of nonlinear modeling of this algorithm, the least squares support vector machine regression Application
bgumxwsk
- 多元数据分析的主分量分析投影,进行逐步线性回归,对于初学matlab的同学会有帮助,是学习PCA特征提取的很好的学习资料,三相光伏逆变并网的仿真,matlab开发工具箱中的支持向量机。-Principal component analysis of multivariate data analysis projection, Stepwise linear regression, Matlab for beginner students will help, Is a good learning
tmbktdsu
- matlab开发工具箱中的支持向量机,包括回归分析和概率统计,BP神经网络用于函数拟合与模式识别,最大似然(ML)准则和最大后验概率(MAP)准则,通过matlab代码,包含收发两个客户端的链路级通信程序。- matlab development toolbox support vector machine, Including regression analysis and probability and statistics, BP neural network function fitti