genzong

normal fit遗传算法，MATLBA编程。。。。。。。。。。。。(normal fit algorithm, MATLBA programming. . . . . . . . . . . .)

采用matlab软件进行了短路电流计算的程序，有三相短路以及单相短路(Matlab software for the short-circuit current calculation procedures, a three-phase short-circuit and single phase short circuit)

This program is used for face recognition

稀疏低秩的动态MRI成像代码，基于CPU的matlab代码版本，有代码加速优化处理(k-t SLR: Accelerated dynamic MRI using low rank and sparse penalties （CPU version: MATLAB codes）)

数值分析的牛顿迭代算法数值分析的牛顿迭代算法(matlab )

说明：  这是一个基于matlab的BP算法程序，采用标准的BP算法，通过修改各层节点数即可实现函数优化。 (This is a matlab-based algorithm of the BP procedure, standard BP algorithm, by modifying the number of nodes can be realized at all levels function optimization.)

最新的优化工具包：minfunc，用于多变量函数的无条件优化。(minFunc is a Matlab function for unconstrained optimization of differentiable real-valued multivariate functions using line-search methods.)

BP（Back Propagation）网络是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。 BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。 它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。 通过对信息的提取以及记忆，用作分类、聚类、预测等。 (BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)

小波包分析提取振动信号中的特征频率，有小波分析的盲信号处理，针对EMD方法的不足。( Wavelet packet analysis to extract vibration signal characteristic frequency, There Wavelet Analysis Blind Signal Processing, For lack of EMD.)

Multi-Object Particle Swarm Optimization (MOPSO)