5_attractor_sync1

adaboost工具箱,可以运行，初学者过来看看。(adaboost toolbox, you can run, beginners come to see.)

KNN分类方法，用于文本分类工作的研究。(KNN classification method, for text categorization of the research work)

一些基于元胞自动机的小程序 帮助理解元胞自动机(Cellular Automata)

整数规划（Integer programming）分支定界法 二次规划（quadratic programming）路径跟踪法(Integer programming (Integer programming)branch and bound method quadratic programming (quadratic programming)the path tracing method)

3种伪随机数列发生器的matlab编码以及其各种特性的分析(Three kinds of pseudo-random number generator matlab bar coding and analysis of its characteristics)

matlab code for filterbank

这是一个单相并网逆变器滑模变结构控制，采用滑模变结构控制方法对其进行稳定性控制，并实现有源阻尼控制。(This is a single-phase grid-connected inverter sliding mode variable structure control, using sliding mode variable structure control method to its stability control, and to achieve active damping control.)

说明：  最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)

matlab实例100个，适合于学习matlab基础学习。其中都是源代码。(matlab example 100, the basis for learning to learn matlab. Which are the source code.)

扩展卡尔曼滤波器，非线性动态滤波，是一种在线线性化的算法(extended Kalman filter, nonlinear dynamic filtering, is an online linearization algorithms)