time

说明：  说明了matlab与cuda之间的关系，对于有一定基础的matlab编程人员来说，是一个可以借鉴的书(Matlab and cuda illustrates the relationship between the basis for some of the matlab programmers is a reference book)

基于种群算法的多项目关键链识别算法Many key chain project recognition algorithm based on population algorithm(Many key chain project recognition algorithm based on population algorithm)

说明：  遗传算法及其matlab实现，具体的实例代码(Matlab genetic algorithm and its implementation, the specific code examples)

some paper talk about how to use hmm train data (some paper talk about how to use hmm train data )

matlab6.5辅助小波分析与 应用教程。共有四章(Wavelet analysis and application of auxiliary matlab6.5 tutorial. A total of four chapters)

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.)

matlab codes related to pso.

说明：  高斯过程回归单模型 基于主成分子模型融合PCS-GPR 图像分析找不同 支持向量机回归建模 人工神经网络(Gaussian process regression single model fusion based on principal component synthesis PCS-GPR image analysis to find different support vector machine regression modeling artificial neural network)

基于AWGN信道的OFDM仿真程序，欢迎下载参考相互学习！(Based on the AWGN channel OFDM simulation program are welcome to download a reference to learn from each other!)

Matlab Code for Biomimicry for Optimization, Control, and Automation.