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Mechanism Design Slider crank Mechanism

README file for Yashil s FCM Clustering MATLAB (Y_FCMC) Toolbox Ver. 1.04 ------------------------------------------------------------------------- This MATLAB Toolbox contains M-files for the following clustering algorithms 1. Fuzzy C-Means Clustering (FCM) => Yf_FCMC1.m 2. Possibilistic C-Means Clustering (PCM) => Yf_PCMC1.m 3. Fuzzy-Possibilistic C-Means Clustering (FPCM) => Yf_FPCMC1.m 4. Maximum Entropy Principle-based Fuzzy Clustering (MEP-FC) => Yf_MEPFC1.m

这是一个混沌神经网络的matlab程序，可用于实现基于混沌神经网络的预测和建模。(This is a chaotic neural network matlab program for chaotic neural network-based forecasting and modeling)

用C/C++编程求解了一个有限元算例二维传热问题,可以作为有限元学习的编程实例，以更好地理解有限元理论，并为进一步使用大型有限元软件打下基础。(With C/C++ Programming to solve a finite element numerical example of two-dimensional heat transfer problems, finite element can be used as examples to learn programming in order to better understand the finite element theory, and for the further use of large-scale finite element software to lay basis.)

MATLAB实现JPEG图像压缩，进过实现，可以运行(MATLAB realization of JPEG image compression, been to achieve, you can run)

可以用来求复合半导体能带随着偏压的变化情况，可以考虑到interface charges(Can be used for compound semiconductor energy band changes with the bias, you can take into account the interface charges)

shunt active power filter

抛物线拟合算法实现代码，已经通过测试可指直接运行(Parabola fitting algorithm code, has passed the tests can be run directly refers to)

将一幅灰度图的数据写成TGA格式的图片，该程序是用matlab中写的，文件里包含了一幅灰度图数据。(The data will be written in a grayscale image TGA format, the program is written in matlab, the file contains a grayscale data.)

SVM light 工具箱 包含window版本和matlab版本 由美国cornell大学的教授Thorsten Joachims部署 执行SVM二分类 速度明显快于libsvm 下载文件中包含 1.例子(inductive SVM 和 transductive SVM) 2.说明文件 3.源程序(SVM light kit (including window version and matlab version) Cornell university professors from the United States to deploy Thorsten Joachims Executive SVM binary classification Significantly faster than libsvm Download file contains 1 example (inductive SVM and transductive SVM) (2) Documentation 3 source)