matlab5

实现二维下的ISING模型的蒙特卡罗模拟计算(Under the two-dimensional model to achieve ISING Monte Carlo simulation)

基于小波分析和主成分分析的人脸识别研究随着社会的发展，社会各个方面对快速有效的身份验证的要求日益迫切。由 于生物特征是人的内在属性，具有很强的自身稳定性和个体差异性，因此是身份 验证的理想依据。其中利用人脸特征又是最自然直接的手段，相比其他生物特征， 它具有直接、友好、方便的特点，易于为用户接受。从而，人脸识别吸引了越来 越多来自计算机视觉和信号处理等领域的关注，成为模式识别、图像处理等学科 的研究热点。(Based on wavelet analysis and principal component analysis of the Face Recognition With the social development of all aspects of society in his capacity as quickly and efficiently verify the requirements of increasingly urgent. Biological characteristics as a result of the inherent human attribute, has a strong individual differences in their stability and, therefore, is an ideal basis for authentication. The use of facial features which is the most natural means of direct, compared with other biological characteristics, it has a direct, friendly, convenient and easy for users to accept. Thus, face recognition has attracted more and more from the computer vision and signal processing and other areas of concern, as a pattern recognition, image processing, such as the research subjects.)

说明：  线性代数实验及MATLAB入门,电子工业出版社出版 陈怀琛 龚杰民合著(linear algebra tests and MATLAB entry, the electronics industry publishing house Huai-China co-authored al.)

newton raphson with graphical user interface

Economic dispatch is the short-term determination of the optimal output of a number of electricity generation facilities, to meet the system load, at the lowest possible cost, subject to transmission and operational constraints. The Economic Dispatch Problem is solved by specialised computer software which should honour the operational and system constraints of the available resources and corresponding transmission capabilities. In the US Energy Policy Act of 2005 the term is defined as the operation of generation facilities to produce energy at the lowest cost to reliably serve consumers, recognising any operational limits of generation and transmission facilities.

3phase fault in induction motor

algorithme FCM code matlab type .m

粒子群优化算法（可以应用在寻优建模过程中）(Particle Swarm Optimization (can be applied in the modeling process optimization))

这个是利用MATLAB实现的KNN算法的实现(This is achieved using MATLAB algorithm to achieve KNN)

说明：  计算表面粗糙度高斯分布，利用matlab采取扫描方法(Calculation of Gaussian distribution of surface roughness)