Description: 本文在VC++环境下用演化算法实现了非线性参数回归，实验结果表明，用此方法能够很好的实现非线性参数回归。-paper in VC environment using an evolutionary algorithm to achieve the nonlinear regression, experimental results indicate that this method can achieve good nonlinear regression. Platform: |
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Author:龚文引 |
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Description: 本文在VC++环境下用演化算法实现了非线性参数回归，实验结果表明，用此方法能够很好的实现非线性参数回归。-paper in VC environment using an evolutionary algorithm to achieve the nonlinear regression, experimental results indicate that this method can achieve good nonlinear regression. Platform: |
Size: 3072 |
Author:龚文引 |
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Description: 统计模式识别、线性或非线性回归以及人工神经网络等方法是数据挖掘的有效工具，支持向量分类（support vector classification，简称SVC）算法是一个很有发展前景的方向。-Statistical pattern recognition, linear or nonlinear regression and artificial neural network approach is an effective tool for data mining, support vector classification (support vector classification, referred to as SVC) algorithm is a promising direction. Platform: |
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Author:xs |
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Description: 这是一种用于卡尔曼的非线性回归法的航迹跟踪算法。-This is a nonlinear regression for the Kalman tracking algorithm of track. Platform: |
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Author:millon |
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Description: SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。-The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code. Platform: |
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Author:秀 |
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Description: 具有非线性回归功能的支持向量机算法。可有效实现目标特征进行训练和识别。-Nonlinear regression functions with support vector machine algorithm. Features can effectively achieve its objectives of training and recognition. Platform: |
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Author:zxf |
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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: matlab中的ls-svm工具包，是最小二乘支持向量机算法，可用于解决非线性的回归问题。-ls-svm tool in the Matlab package, least squares support vector machine algorithm can be used to solve nonlinear regression problems. Platform: |
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Author:王欣 |
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Description: matlab中的libsvm工具包，是smo支持向量机算法，可用于解决非线性的回归问题。区别于最小二乘支持向量机。-Matlab libsvm Kit is to smo support vector machine algorithm that can be used to solve nonlinear regression problems. Different from the least squares support vector machine. Platform: |
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Author:王欣 |
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Description: 于BP网络的权值优化是一个无约束优化问题，而且权值要采用实数编码，所以直接利用Matlab遗传算法工具箱。以下贴出的代码是为一个19输入变量，1个输出变量情况下的非线性回归而设计的，如果要应用于其它情况，只需改动编解码函数即可。-BP network weights optimization is a constrained optimization problem, and the right value to real-coded, so the direct use of the Matlab genetic algorithm toolbox. The code posted below is a 19 input variables, a nonlinear regression in the case of the output variable designed to be applied to other circumstances, only changes to the encoding and decoding functions can be. Platform: |
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Author:fuhai |
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Description: 插值
查找
常微分方程(组)的求解
多项式与连分式函数的计算
非线性方程与方程组的求解
复数运算
汉字操作
基本图形操作
极值问题
矩阵特征值与特征向量的计算
拟合与逼近
排序
数据处理与回归分析
数学变换与滤波-Interpolation to find the ordinary differential equation (group) polynomial continued fraction function to calculate the nonlinear equations and solving complex computing Chinese operating basic graphics operations extremal matrix eigenvalue and eigenvector calculation fitting and approaching the sort of data processing and regression analysis, mathematical transformation and filtering Platform: |
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Author:yeyu |
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Description: RBF网络的回归-非线性函数回归的实现 遗传算法典型实例-RBF network regression- typical examples of the realization of genetic algorithm for nonlinear regression function Platform: |
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Author:冯翔 |
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Description: Matlab nonlinear regression algorithm is the existing procedures for parameter fitting data series Platform: |
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Author:cdmputgng |
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Description: Lervenberg-Marquardt 算法的实现，包括测试代码，并有辅助函数。解压缩后可直接运行，包含3个例子，在LMFnlsq2test.pdf中有对算法的详细描述。(The function is an improved version of the function LMFnlsq widely tested on the nonlinear regression, curve fitting and identification problems. Better description is in the complementing file LMFnlsq2test.pdf.) Platform: |
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Author:icommonweal |
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Search - nonlinear regression algorithm