GMPHD

采用常用的模糊规则完成水箱液位的模糊控制，使液位基本保持不变(Fuzzy Control for washer.rar)

matlabGUI编程实例：常用数学符号运算工具集合，主要功能包括：因式分解，合并同类项、求微分积分，泰勒展开和函数作图等。对学习初步的matlab界面设计有着一定的参考价值(matlabGUI programming examples: commonly used mathematical symbols collection of computing tools, the main features include: Factorization, the merger of similar items, and points differential, Taylor expansion and function, such as mapping. Learning matlab preliminary interface design is a certain reference value)

双边滤波代码，用matlab实现，灰度图和彩色图都能用，简单容易看懂(Bilateral Filtering.Implemented in matlab, both gray and color images are applicable.It s easy to read.)

说明：  支持向量机的matlab具体用法，很好的一篇文档(Support vector machine matlab specific usage)

An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised learning, a desired output result for each input vector is required when the network is trained. An ANN of the supervised learning type, such as the multi-layer perceptron, uses the target result to guide the formation of the neural parameters. It is thus possible to make the neural network learn the behavior of the process under study. • In unsupervised learning, the training of the network is entirely data-driven and no target results for the input data vectors are provided. An ANN of the unsupervised learning type, such as the self-organizing map, can be used for clustering the input data and find features inherent to the problem.

heat one dimensional CFD

数值计算中平方根算法的源程序，采用matlab写的，对数值计算有很大的帮助作用。(Square root algorithm for the numerical calculation of the source, using matlab to write on the numerical calculation of great help.)

模糊聚类的减法聚类的原代码 一种模糊聚类的方法(Subtractive clustering fuzzy clustering of the original code)

用MATLAB编写的图像压缩程序和解压程序，带有测试图片。(Written using MATLAB image compression and decompression process programs, with a test image)

Differential Pulse Code Modulation (DPCM) and Discrete Cosine Transform (DCT) coding techniques in MATALB