搜索资源列表
libsvm-2.9
- 支持向量机的代码库，使用简单，主要用途是基于支持向量机的分类和回归。还包括C-SVM，nu-SVM，一类SVM，epsilon回归等功能。它还提供了用于C-SVM的自动模型选择工具。-Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-
Main_SVR_Epsilon
- One-Class支持向量机工具箱中程序均在Matlab6.5环境中调试通过，不能保证在Matlab其它版本正确运行-One-Class Support Vector Machine Toolbox procedures are adopted in the Matlab6.5 debug environment can not guarantee that other versions of Matlab to run correctly
1
- Matlab Program to calculate Machine epsilon
one_dimensional_fem_nonlinear
- One dimensional problem in class (nonlinear) Geometry: A=1, uniform cross-section L=2, total length of bar BC at x=0, u=0 BC at x=L, f=3.75 Material : nonlinear elastic E=10 sigma=E*(epsilon+epsilon^3)- One dimensional problem in cla
SVM-KM
- K-近邻支持向量机回归，工具箱，全程Matlab-K-Support Vector machine Matlab， This function process the SVM regression model using a linear epsilon insensitive cost
Epsilon Twin Support vector machine
- This is the matlab code of Epsilon Twin Support vector machine
Kernel function
- This is the code of kernel function used in epsilon twin support vector machine
SOR
- This is successive overrelaxation technique matlab code required for Epsilon twin support vector machine
eps-moea
- epsilon multiobjective evolutionary algorithm based code.
line-search
- 输入：phi是目标函数，a,b是搜索区间的两个端点 delta,epsilon分别是自变量和函数值的容许误差 输出：s,phis分别是近似极小点和极小值，G是n乘4矩阵- input: phi is the objective function, a, b is the search interval of two endpoints delta, epsilon, respectively is the independent variable and function
MOP-metrics-matlab
- 多目标问题中的评价指标如 IGD，GD,Space，epsilon等指标，matlab编译-metrics of MOP: IGD,GD,Space,epsilon...
Doped_Si
- 计算掺杂硅的介电常数，drude model-epsilon of doped si
qlearning
- An Example for Reinforcement Learning using Q-learning with epsilon-greedy exploration(The deterministic cleaning-robot MDP a cleaning robot has to collect a used can also has to recharge its batteries. the state describes the position of the robot a
Parafac codes
- PARAFAC源程序，可以用于平行因子分析处理的算法，很全很好用(unction [A,B,C,LLF,I,J,K] = parafac(XPK,I,N,epsilon) % PARAFAC Parallel factor analysis for an three-way data array % The iterative process is continued until that m > 300 or ABS((LF(m)-LF(m-1)) % /LF(m-1)) is l