MATLAB-7

协同PSO算法是运用协同组合方法，采用K均值来分类，PSO辅助来实现聚类分析(PSO algorithm is the use of collaborative synergistic combination of methods, the use of K-means to classify, PSO assisted to achieve clustering analysis)

这是基于matlab的关于Mel频率倒谱系数（MelFrequencyCepstrumCoefficient，MFCC）的代码，对大家理解有一定帮助。(This is based on the matlab Mel Frequency Cepstral Coefficients (MelFrequencyCepstrumCoefficient, MFCC) code for us to understand some help.)

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.)

参数辨识以及扩展卡尔曼滤波算法的SOC估算(Battery Model Parameter Estimation Using a Layered Technique)

MSP430X44X系列的串口通讯操作完整程序(COM USED IN MSP430)

Neighborhood rough set based heterogeneous feature subset selection

阀值去噪 用db1小波对原始信号进行3层分解并提取系数(Db1 wavelet threshold de-noising with the original signal decomposition and extraction coefficient of 3 layers)

本文根据异步电动机矢量控制的基本原理，基于Matlab 软件构造了按转子磁场定向的矢量控制系统的仿真模型。(According to the basic principle of vector control of asynchronous motor, the simulation model of vector control system oriented by rotor field is constructed based on the software of matlab.)

说明：  PV array and wind with fuzzy mppt

一种快速简单的遗传算法程序，基于Matlab7,加入特殊的交叉算子和变异算子，使算法更快。(SpeedyGA is a vectorized implementation of a genetic algorithm in the Matlab programming language.SpeedyGA has been created and tested under Matlab 7 (R14). Added mutation and crossover mask pregeneration.)