MOEA

It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems. The emphasis is on models for both identification and control. Static and dynamic backpropagation methods for the adjustment of parameters are discussed. In the models that are introduced, multilayer and recurrent networks are interconnected in novel configurations, and hence there is a real need to study them in a unified fashion. Simulation results reveal that the identification and adaptive control schemes suggested are practically feasible. Basic concepts and definitions are introduced throughout, and theoretical questions that have to be addressed are also described

这是计算机拟和方法的例程集锦,对数学计算和建模非常有用.(This is a computer and methods to routine collection of mathematical calculations and modeling very useful.)

人脸图像的2级小波分解，用MATLAB实现。可得到人脸图像的二级小波分解图。使用时只需把图片名称改成自己所具有的即可(Face feature extraction)

用来计算无风险利率三次样条贴现函数的程序(No risk-free interest rate used to calculate the cubic spline function discounting)

power flow in power systems

数值代数常用变换，内部含有Gauss，cholesterol，household，givens,QR分解等变换(Common transform numerical algebra, contains an internal Gauss, cholesterol, household, givens, QR decomposition transformation)

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这里给出了一个基本——万能的套用公式，对于所有的需要进行有理式近似的，当然是基于matlab编程实现！(matlab for polynomial translation,here the code can guide to computing lots of news methods for the polynomial approximating!)

matlab与R的命令对比，双剑合璧，充分发挥各自的优势。(matlab command comparison with R, two-pronged, give full play to their strengths.)

这是TVAL3算法，是基于增广拉格朗日法和交替方向法的全变分最小化算法。这个算法是有关压缩感知的重建算法的例子。TVAL3算法是在最小全变分法的基础上，结合了增强型拉格朗日函数和交替最小化方法。通过交替最小化方法寻找增强型拉格朗日模型的最小值，再由最速下降法进行迭代，更新拉格朗日乘子。 (TVAL3: TV minimization by Augmented Lagrangian and ALternating direction ALgorithms.This algorithm is an example of a reconstruction algorithm for compressed sensing. The TVAL3 algorithm is based on the minimum total variation method, which combines the enhanced Lagrange function and the alternating minimization method. The minimum value of the enhanced Lagrange model is sought by the alternate minimization method, and then the iterative method is updated by the steepest descent method.)