svd-tls

使用FR共轭梯度法求解无约束问题 输入包括初始点，目标函数和梯度 输出包括最优点和最优解，还有迭代次数(Use FR conjugate gradient method for solving unconstrained problems including initial entry points, the objective function and the gradient of the output, including the advantages and the most optimal solution, as well as the number of iterations)

说明：  相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)

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阈值法区造程序，包括软阈值和硬阈值，还有软硬这种法去噪的程序(Threshold area making process, including the soft threshold and hard threshold, as well as soft and hard process of this method de-noising)

最经典的Bayes分类器！最小化分类错误。用matlab语言编写，附有实例。(classic Bayesian classifier! Minimize classification errors. Using Matlab language, with examples.)

说明：  To find the encryption of an image.

RFID功能实现,基于信号强度的定位方法(RFID Implementation of RFID Function and Location Method Based on Signal Intensity)

综合粒子群和蚁群算法，再利用免疫算法中交叉变异算子；形成ACO-AIA-PSO混合算法，求解TSP问题(Integrated particle swarm and ant colony algorithm, and then use the crossover operator and mutation operator of immune algorithm the formation of ACO-AIA-PSO hybrid algorithm, for solving the TSP problem )

cluster validation tools matlab toolbox

matlab工具箱（统计工具箱函数 优化工具箱函数 样条工具箱函数 偏微分方程数值解工具箱函数 ）(Matlab Toolbox (Statistics Toolbox function optimization toolbox function spline function PDE Toolbox Numerical Solution Toolbox functions))