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In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

说明：  MATLAB simulink 径向基神经网络 前馈神经网络(Application and Comparison of BP Neural Network Algorithm in MATLAB)

日历，用matlab程序编程的一款日历软件(Calendar, with the matlab programming for a calendar software)

我这是论文中用到人工鱼群算法，为matlab代码。希望对对大家有用。(This artificial fish-swarm algorithm code in matlab was used in my paper,I hope it is usefull for you.)

打开Matlab，在工作窗口中输入程序，运行；出结果(Open Matlab, the working window, type the program, run results)

这是一个LATEX的常见问题集，希望可以给大家一点帮助(failed to translate)

FFTW 64位FFTW算法库，MATLAB 就是调用这个库(FFTW 64BIT FFT)

一个用matlab解决微分方程的例子，比较适合初学者(To solve a differential equation using matlab examples, more suitable for beginners)

毕业设计 混沌系统的非线性控制同步 含参考文献(chaos_with_nonlinear_controller)

pitch detection with correlation