Shape-Recognition

matlab的rbf神经网络文件，可用于股市预测，能够生成误差图，预测图(the rbf neural network matlab files, can be used for stock market prediction, to generate error maps, prediction chart)

介绍了利用matlab进行曲线拟合的方法，以及相应函数在matlab中的使用方法(Describes the use of matlab curve fitting method, and the corresponding function in matlab to use)

分别训练出草莓的属性，然后在两幅图中分别识别出草莓(Strawberries were trained Properties, and then were identified in the two figures strawberries)

基于harris角点特征的图像配准程序，首先改进Harris角点检测算子，以便准确提取样本图像的特征点并赋予特征描述符。(Harris corner feature based image registration procedures, the first improved Harris corner detection operator for accurate feature point extraction and sample images are given descriptors.)

Fit time series Q(t) to a logistic function. Inputs (vectors of same size): t (time) & Q Outputs: Qpre (logistic model fit to data) and three independent parameters: thalf, Qinf, and a, describing the logistic Q(t) = Qinf/(1 + exp(-a*(t-thalf))) Qinf is value as t --> infinity thalf is time of symmetric inflection point a is time decay constant Written by James Conder, Southern Illinois University, Oct. 2010

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

lssvm最小二乘支持向量机的主程序，最基本的程序(lssvm the main program, the basic procedures)

基于m序列的直接序列扩频系统的抗噪声性能仿真 (Anti-noise performance simulation based on direct sequence spread spectrum system m sequences)

FQPSK调制解调,基于MATLAB的实现方法，好几个程序，自己编的(FQPSK modulation and demodulation, based on MATLAB and, several procedures, own)

用感知器实现或功能的M文件，MATLAB中运行正确，(ANN)