jueceshu

ANFIS: Adaptive Neuro-Fuzzy Inference Systems

包含了巴特沃斯滤波器的处理，属于数字信号处理的一部分(Includes the processing of the Butterworth filter, part of the digital signal processing)

Automated registration dft

CW脉冲信号的仿真，加多普勒延时后的频谱图(CW pulse signal simulation, Jiaduopule spectrum after delay)

深度学习DBN网络，使用MATLAB，有详细的注释(DBN deep learning network, using MATLAB, there are detailed notes)

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)

matlab是一门简单易学的重要工具，一个简明的例程可以事半功倍。(matlab is an easy to learn an important tool for a concise routines can do more with less.)

Prediction of thermal ageing in transformer oil and high voltage PVC cables using artificial neural Networks

A static synchronous compensator (STATCOM), also known as a "static synchronous condenser" ("STATCON"), is a regulating device used on alternating current electricity matlab simulink

阵列信号处理信源数估计算法，用来估计信源数目(Matlab code of state-of-the-art 1-D model order selction (also known as source enumeration, estimating the number of source ignals impinging on an array of sensor) methods. The main function "main.m" compares the performance of them.)