HashingToolbox

完成相关向量机的回归与分类的功能，采用经典例子(The relevance vector machine regression and classification)

利用非线性控制完成光伏并网逆变器的设计，设计中采用模糊控制和反步法，介绍很好。(Using nonlinear control to complete the design of the photovoltaic (pv) grid inverter, adopted in the design of advanced reverse moves, the introduction is very good.)

对二阶rc等效电池模型运用matlab进行最小二乘法在线系统辨识的程序(Equivalent second-order rc battery model using least squares method matlab online system identification procedures )

Algorithm based in graph theory, in which form cluster around of a radius r of a point.

Ii this file developing a sample website for elearning

基于svm的人体轮廓检测，基于omega人体形状特征。(recognize people by svm.)

sofm神经网络故障诊断完整示例，可运行(sofm neutral networks fault diagnosis)

一个比较好的关于matlab语法的ppt文档(Programming syntax ofmatlab)

基于K-eans聚类算法的图像分割方法，对学习理解K-eans聚类能提供很大的帮助。(Image segmentation method based on K-eans clustering algorithm,which provides a great help in learning to understand the K-eans cluster. )

拟牛顿法和最速下降法(Steepest Descent Methods)一样只要求每一步迭代时知道目标函数的梯度。通过测量梯度的变化，构造一个目标函数的模型使之足以产生超线性收敛性。这类方法大大优于最速下降法，尤其对于困难的问题。另外，因为拟牛顿法不需要二阶导数的信息，所以有时比牛顿法(Newton s Method)更为有效。如今，优化软件中包含了大量的拟牛顿算法用来解决无约束，约束，和大规模的优化问题。(The quasi-Newton method and the Steepest Descent Methods only require that each step iterations know the gradient of the objective function. By measuring the change of the gradient, constructing a model of the objective function is sufficient to produce superlinear convergence. This method is much better than the steepest descent method, especially for difficult problems. In addition, because the quasi-Newton method does not require information on the second derivative, it is sometimes more effective than the Newton s Method. Today, the optimization software contains a large number of quasi-Newton algorithm used to solve the unconstrained, constraint, and large-scale optimization problems.)