PID

this file about implementing hopfield networks in matlab

说明：  珍藏版，可实现，新K均值聚类算法，分为如下几个步骤： 一、初始化聚类中心 1、根据具体问题，凭经验从样本集中选出C个比较合适的样本作为初始聚类中心。 2、用前C个样本作为初始聚类中心。 3、将全部样本随机地分成C类，计算每类的样本均值，将样本均值作为初始聚类中心。 二、初始聚类 1、按就近原则将样本归入各聚类中心所代表的类中。 2、取一样本，将其归入与其最近的聚类中心的那一类中，重新计算样本均值，更新聚类中心。然后取下一样本，重复操作，直至所有样本归入相应类中。 三、判断聚类是否合理 采用误差平方和准则函数判断聚类是否合理，不合理则修改分类。循环进行判断、修改直至达到算法终止条件。(NewK-means clustering algorithm ，Divided into the following several steps: A, initialize clustering center 1, according to the specific problems, from samples with experience selected C a more appropriate focus the sample as the initial clustering center. 2, with former C a sample as the initial clustering center. 3, will all samples randomly divided into C, calculate the sample mean, each the sample mean as the initial clustering center. Second, initial clustering 1, according to the sample into the nearest principle clustering center represents the class. 2, as this, take the its recent as clustering center of that category, recount the sample mean, update clustering center. And then taking off, as this, repeated operation until all samples into the corresponding class. Three, judge clustering is reasonable Adopt error squares principles function cluster analysis.after clustering whether reasonable, no reasonable criterion revisio)

Long period Fiber Bragg grating simulation.

介绍了比较新颖的二代小波变换技术，即通过分裂、预测和更新三个步骤实现小波变换 的方法，并且把这种技术成功的应用于图像融合技术中。实践表明，这是一种比较成功的图像融合解 决方案。(Introduced a relatively new technology of second generation wavelet transform, that is, through the split, predict and update the three-step realization of wavelet transform methods, and to the success of this technology applied to image fusion technology. Practice shows that this is a more successful image fusion solution.)

说明：  基于MATLAB平台的微分进化策略的实现(The realization of differential evolution strategy based on MATLAB)

说明：  suntton强化学习第三章代码 (The Reinforcement Learning Problem)(The Reinforcement Learning Problem)

说明：  边缘预测提出了一种基于预测的、有一定自适应性的边缘检测方法。介绍了其原理和算法实现过程。通过计算两个相邻像素的灰度值的均值、均方差和梯度来预测下一个像素的灰度值,比较预测值和真实值来判断下一个像素是否是边界点。通过与现有同类算法的比较,证明了该算法的优越性(A predictive and adaptive edge detection method is proposed. The principle and implementation process of the algorithm are introduced. The gray value of the next pixel is predicted by calculating the mean, mean square deviation and gradient of the gray value of the two adjacent pixels. The prediction value and the real value are compared to determine whether the next pixel is a boundary point. The superiority of this algorithm is proved by comparing with the existing similar algorithms.)

matlab初级教程，是matlab初级学者入门最好的选择，简单实用(primary matlab tutorial matlab junior scholars Getting Started with the best choice for simple and practical)

这是书上的共轭方向方法的两个例子的程序，大家可以参考一下。(This is a book on the method of conjugate direction procedures for two examples, we can refer to.)

ga 算法 量子优化计算方法 详细代码(ga Algeria liaangzi good method )