Description: Support Vector Machines is a powerful methodology for solving problems in nonlinear classification and regression.
It is a matlab version.-Support Vector Machines is a powerful methamphetamine odology for solving problems in nonlinear CLAS sification and regression. It is a Matlab versi on. Platform: |
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Author:Mountain |
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Description: Support Vector Machines is a powerful methodology for solving problems in nonlinear classification and regression.
It is a matlab version.-Support Vector Machines is a powerful methamphetamine odology for solving problems in nonlinear CLAS sification and regression. It is a Matlab versi on. Platform: |
Size: 29696 |
Author:Mountain |
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Description: 支持向量机非线性回归通用matlab程序
支持向量机和BP神经网络非线性回归之比较研究-SVM nonlinear regression procedures common Matlab support vector machines and artificial neural networks to nonlinear In the Comparative Study Platform: |
Size: 4096 |
Author:sunwanghu |
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Description: Ridge Regression RR 岭回归估计，是非常有用的非线性时间序列算法，在局部多项式预测中非常有用。-Ridge Regression RR ridge regression estimates, it is useful to nonlinear time series algorithms, in Local Polynomial prediction in very useful. Platform: |
Size: 1024 |
Author:zhxj |
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Description: 回归的各种分析实例以及matlab代码，包括各种数学应用，比如线性回归，非线性回归，逐步回归-Examples of regression analysis, as well as a variety of matlab code, including a variety of mathematical applications such as linear regression, nonlinear regression, stepwise regression Platform: |
Size: 863232 |
Author:吴明岩 |
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Description: MATLAB工具箱进行线性回归、多元线性回归、非线性回归的很好的例子，附有教程PPT以及MATLAB程序，很实用，欢迎大家下载。-MATLAB toolbox linear regression, multiple linear regression, nonlinear regression of a good example of PPT, as well as MATLAB program with tutorials, very useful, welcome to download. Platform: |
Size: 1060864 |
Author:zhangying |
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Description: 支持向量机非线性回归通用MATLAB源码本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合-Universal non-linear regression support vector machine MATLAB source code of this source can be used for linear regression, nonlinear regression, nonlinear function approximation, data modeling, prediction, classification and other applications Platform: |
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Author:fangcao |
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Description: 算法大全 全书分30章及2附录（在MATLAB中实现）对常用数学算法进行汇总介绍。
主要包括：线性规划、非线性规划、动态规划、图与网络、排队论、对策论、层次分析法、插值与拟合、数据的统计描述和分析、方差分析、回归分析、微分方程建模、稳定状态模型、常微分方程解法、差分方程模型、马氏链模型、变分法模型、神经网络模型、偏微分方程的数值解、目标规划、模糊数值模型、现代优化算法、时间序列模型、存贮论、经济与金融的优化问题、生产与服务运作管理中的优化问题、灰色系统理论及其应用、多元分析、偏最小二乘回归以及附录-Complete collection of algorithm including 30 chapters and 2 appendices: linear programming, nonlinear programming, dynamic programming, graph and networks, queuing theory, game theory, the level of analysis, interpolation and fitting, statistical description and analysis of data , analysis of variance, regression analysis, differential equations modeling, steady-state model, ordinary differential equation solution, difference equation model, Markov chain model, variational method model, neural network model, the numerical solution of partial differential equations, goal programming, fuzzy numerical model, modern optimization algorithms, time series models, storage theory, the optimization of economic and financial issues, production and service operations management in the optimization problem, gray system theory and its applications, multivariate analysis, partial least squares regression, and Appendix
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Author:商志远 |
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Description: Description
We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of:
- linear regression model
- nonlinear regression model
- fitting data in 3D space
- identification of dynamical system
This toolbox requires another two functions, which are already published in Matlab Central File Exchange. Those functions will be installed to computer via supporting install package requireFEXpackage included in TLS package. For more details see ReadMe.txt file.
Authors: Ivo Petras, Dagmar Bednarova, Tomas Skovranek, and Igor Podlubny
(Technical University of Kosice, Slovakia)
Detailed description of the functions, examples and demos can be found at the link:
Ivo Petras and Dagmar Bednarova: Total Least Squares Approach to Modeling: A Matlab Toolbox, Acta Montanistica Slovaca, vol. 15, no. 2, 2010, pp. 158-170. -Description
We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of:
- linear regression model
- nonlinear regression model
- fitting data in 3D space
- identification of dynamical system
This toolbox requires another two functions, which are already published in Matlab Central File Exchange. Those functions will be installed to computer via supporting install package requireFEXpackage included in TLS package. For more details see ReadMe.txt file.
Authors: Ivo Petras, Dagmar Bednarova, Tomas Skovranek, and Igor Podlubny
(Technical University of Kosice, Slovakia)
Detailed description of the functions, examples and demos can be found at the link:
Ivo Petras and Dagmar Bednarova: Total Least Squares Approach to Modeling: A Matlab Toolbox, Acta Montanistica Slovaca, vol. 15, no. 2, 2010, pp. 158-170. Platform: |
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Author:fatz |
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Description: 本功能是第三届泰迪杯数据挖掘第三题水处理中的移到，里面有一年的水处理数据，每隔一个小时测量数据，用一个简单的非线性回归方程去建立水处理模型。-This function is the third teddy cup third topic in water treatment to the data mining, there are water treatment data of a year, every other hour measurement data, using nonlinear regression equation to establish a simple model of the water treatment.This function is the third teddy cup third topic in water treatment to the data mining, there are water treatment data of a year, every other hour measurement data, using nonlinear regression equation to establish a simple model of the water treatment. Platform: |
Size: 76800 |
Author:xiezehui |
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Description: SVM神经网络的回归预测分析---上证指数开盘指数预测，matlab实现非线性回归预测(Regression prediction analysis of SVM neural network -- prediction of Shanghai Stock Index opening index and nonlinear regression prediction by MATLAB) Platform: |
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Author:marec
|
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Description: SVM(Support Vector Machine)指的是支持向量机，是常见的一种判别方法。在机器学习领域，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。
Vapnik等人在多年研究统计学习理论基础上对线性分类器提出了另一种设计最佳准则。其原理也从线性可分说起，然后扩展到线性不可分的情况。甚至扩展到使用非线性函数中去，这种分类器被称为支持向量机(Support Vector Machine，简称SVM)。支持向量机的提出有很深的理论背景。
支持向量机方法是在后来提出的一种新方法。
SVM的主要思想可以概括为两点:
它是针对线性可分情况进行分析，对于线性不可分的情况，通过使用非线性映射算法将低维输入空间线性不可分的样本转化为高维特征空间使其线性可分，从而使得高维特征空间采用线性算法对样本的非线性特征进行线性分析成为可能。
它基于结构风险最小化理论之上在特征空间中构建最优超平面，使得学习器得到全局最优化，并且在整个样本空间的期望以某个概率满足一定上界。(442/5000
SVM(Support Vector Machine) refers to Support Vector Machine, which is a common discriminant method. In the field of machine learning, it is a supervised learning model, which is usually used for pattern recognition, classification and regression analysis.
Vapnik et al. proposed another design criterion for linear classifier on the basis of years of statistical learning theory. The principle is also derived from linear separability, and then extends to linear inseparability. Even extending to the use of nonlinear functions, this classifier is called Support Vector Machine (SVM). The support vector machine has a deep theoretical background.) Platform: |
Size: 633856 |
Author:飛上云端 |
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Description: 数据回归分析包括一元线性回归，一元非线性回归，多元线性及广义线性回归，多元非线性回归(Data regression analysis including a yuan linear regression, a yuan of nonlinear regression, multiple linear and generalized linear regression and multivariate nonlinear regression) Platform: |
Size: 736256 |
Author:王鑫 |
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Description: 第一章 线性规划
第二章 整数规划
第三章 非线性规划
第四章 动态规划
第五章 图与网络
第六章 排队论
第七章 对策论
第八章 层次分析法
第九章 插值与拟合
第十章 数据的统计描述和分析
第十一章 方差分析
第十二章 回归分析(Chapter I linear programming
Chapter II integer programming
Chapter III nonlinear programming
Chapter IV dynamic planning
Chapter V diagram and network
Chapter VI queuing theory
Chapter seven game theory
Chapter VIII analytic hierarchy process
Chapter 9 interpolation and fitting
Chapter X statistical description and analysis of data
Chapter 11 analysis of variance
Chapter 12 regression analysis) Platform: |
Size: 7712768 |
Author:凉茶与烫酒 |
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