bp

支持向量机分类源代码，matlab环境，可以代入数据进行类别分类。(Support vector machine classification of source code directly into the data to the data category classification. )

nsga2算法实例，用于多目标优化,基于pareto排序以及共享函数的多目标遗传算法(An example of NSGA2 algorithm, for multi objective optimization)

线性调频信号脉冲压缩程序,对加窗后雷达回波信号进行处理(LFM pulse compression procedures, Windowing Houlei Da echo signals are processed)

模型预测控制算法MATLAB的编程.m文件。具有抗干扰能力，算法优异。(Model predictive control algorithm based on MATLAB programming. M file. With anti-jamming capability, the algorithm is excellent.)

详细的介绍了信号处理过程中的matlab应用，适合初学者学习(Described in detail in the matlab signal processing applications, suitable for beginners to learn)

彩色含噪图像的复原是一类较难的问题，此处作者编写了一个MATLAB的全变差（TV）图像复原算法，能较好地解决彩色图像的复原问题(Color images with noise is a kind of recovery is more difficult issues, here the author has prepared a MATLAB the total variation (TV) image restoration algorithm, can solve the problem of color image restoration)

基于matlab的面齿轮动力学求解程序，有混沌，分叉，时域分析和频域分析(It is the program for solving the dynamic equation of face gear,using matlab language.)

最小方差调节器和最小方差自校正调节器。 设计最小方差调节器和最小方差自校正调节器，实现闭环仿真控制，了解这两种调节器的性质，特别是某些参数(如遗忘因子)的影响(Minimum variance regulator and the minimum variance self-tuning regulator. Design of minimum variance and minimum variance regulator self-tuning regulator to achieve closed-loop simulation of control, to understand the nature of the two regulators, in particular some of the parameters (such as forgetting factor) of)

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.)

说明：  采用BP神经网络对电力系统负荷进行预测，预测结果与实际结果的误差较小，可作为电力公司进行优化调度的依据。(BP neural network is used to predict the load of power system. The error between the predicted result and the actual result is small, which can be used as the basis for optimal dispatching of power companies.)