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采用遗传算法优化最小二乘支持向量机参数的方法
- 采用遗传算法优化最小二乘支持向量机参数的方法
matlab
- 求反求参数（无约束非线性优化方法）的matlab实现 无约束非线性优化算法-Powell法优化子程序 matlab广义最小二乘算法程序-Reverse order parameter (unconstrained nonlinear optimization method) to achieve the matlab unconstrained nonlinear optimization algorithm-Powell method to optimize the generaliz
fxzxec
- 非线性最小二乘拟合，经过本人精心调试成功！代码得到极大地优化-Nonlinear least squares fitting, after I carefully debugging success! Code has been greatly optimized! ! !
Code_MATLAB_Optimization
- 这是龚纯《精通MATLAB最优化计算》随书源码(M文件)。基于MATLAB优化工具箱，代码包含的内容有：牛顿法等无约束一维极值问题、单纯形搜索法等无约束多维极值问题、Rosen梯度投影法等约束优化问题、L-M法等非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化、遗传算法。-This is pure Gong " Mastering MATLAB optimization calculations," with the book source (M file)
lssvmpso
- 基于粒子群优化最小二乘支持向量机参数的程序，很好用-pos_lssvm
levmar-2.3
- 最新的Levenberg Marquardt 算法。用于非线性最小二乘问题的参数估计和优化！-Latest Levenberg Marquardt algorithm. Nonlinear least squares problem for parameter estimation and optimization!
Nonlinear_leastsquares_optimization
- 非线性最小二乘优化问题的MATLAB程序-Nonlinear least squares optimization procedure MATLAB
minSimpSearch
- 非线性最小二乘优化问题，经过试验很好用，有兴趣的可以-Nonlinear least squares optimization problem, after a test is useful, who are interested can try
MarkwardtIDL
- IDL版的Marquadt优化算法，可求解非线性最小二乘问题-MPFIT uses the Levenberg-Marquardt technique to solve the least-squares problem. In its typical use, MPFIT will be used to fit a user-supplied function (the "model") to user-supplied data points (the "da
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
AutomatedNegotiatioDecisionModelasedonMachineLearn
- 模型利用协商历史中隐含的信息自动对数据进行标注以形成训练样本，用最小二乘支持向量回 归机学习此样本得到对手效用函数的估计，然后结合自己和对手的效用函数构成一个约束优化问题，用遗传算法求 解此优化问题，得到的最优解就是己方的反建议．实验结果表明，在信息保密和没有先验知识的条件下，此模型仍然 表现出较高的效率和效用-The proposed model labels the negotiation history data automatically by making full use
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- 精通MATLAB优化计算算法，非线性最小二乘问题。共3个程序。-Proficient in MATLAB optimization calculation algorithm, nonlinear least squares problems. A total of three procedures.
OROpt-matlab-code
- MATLAB中的优化算法集锦，包括遗传算法，线性规划，非线性最小二乘，最大最小问题等-Collection of MATLAB algorithms in the optimization, including genetic algorithms, linear programming, nonlinear least squares, maximum and minimum problems
G-N
- 此文件包含用G-N法，修正G-N法，L-M法，Lsqnonlin求解非线性最小二乘优化问题MATLAB源代码，请大家参考-This file contains the method with the GN, GN law amendment, LM Law, Lsqnonlin MATLAB nonlinear least squares optimization source code, please refer to
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
feixianxingzuixiaoerchengfa
- 非线性最小二乘优化问题，这里提供算法，供大家参考-Nonlinear least squares optimization problem, here are algorithms for reference
SSVM_MATLAB
- MATALB 编写的最小二乘支持向量机，可实现多分类问题，包含双参数优化。-LSSVM compiled by MATLAB language,It can realize multi-classification,and work very well.
非线性最小二乘问题
- 利用最小二乘法可以求解线非性规划问题，最小二乘法着重解决优化约束问题(Least square method can solve nonlinear programming problem.Least squares method focuses on solving optimization constraints)
MATLAB非线性最小二乘优化问题
- 非线性最小二乘优化问题的代码，可以用来自己修改成需要的子函数。(Nonlinear least squares optimization code, can be used to modify their own needs of the sub-function.)
最小二乘
- 最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达(The least square method, also known as the least square method, is a mathematical optimization technology. It