NN_EKF

人工产生swissroll数据集，方便一些降维方法的效果验证(Swissroll generate artificial data sets to facilitate some of the effects of dimensionality reduction methods to verify)

matlab基础，关于自相关函数的，并且它很实用，很多教材都用到了(matlab based on the autocorrelation function, and it was practical, many materials are used in the)

关于支持向量机的权值训练过程 采用matlab软件进行编程(NLSVM_Training for matlab)

this is the simulink of wind power with pitch angle controler

说明：  共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)

基于matlab 的 dft 的 fft 的 是吸纳(the same as before fft dft )

说明：  用函数hough检测直线,程序很好，可以调里面参数。效果很好(Use function houhg to check the line)

这是一个Matlab程序，用牛顿插值法，补充缺失的数据，从而保证了数据的完整性。(This is a Matlab program, using Newton s interpolation method, add missing data, thus ensuring data integrity.)

多目标遗传算法/用法不用多说、要用的赶快下载吧(Multi-objective Genetic Algorithm/usage Needless to say, want to use to download it as soon as possible)

Double Pendulum simulation and description