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人工神经网络中的RBF方法 Matlab函数文件 可以方便调用(RBF Artificial Neural Networks)

：主要介绍m序列、Gold序列、Kasami序列和JPL序列的生成原理及其MATLAB的实现，并介绍如何用MATLAB中 Simullnk对其进行硬件仿真，给出了相应自相关和互相关结果。(: The main introduction m sequence, Gold sequences, Kasami sequences and sequences generated JPL principle and the realization of MATLAB, and introduce how to use MATLAB in their Simullnk hardware simulation, the corresponding auto-correlation and cross-correlation results.)

C++ 生成Code编码 流程检查等多功能实现 实际问题都 可以解决(if you want this please find)

神经网络讲义，共八讲，主要讲述了神经网络发展史以及几个经典的人工神经网络(Neural network handouts, a total of eight speakers, mainly about the history of neural networks as well as several classic artificial neural network)

说明：  本程序采用matlab求解常见的几种偏微分方程(This procedure uses matlab partial differential equations to solve several common)

code to get optical flow using sum of robust differences method

多变量输入、输出、多干扰、非线性和强耦合的复杂系统控制是一个比较困难的问题，常用的控制器可能因为多变量耦合问题难以控制系统。PID神经元网络是一种多层前向神经元网络，它的各层神经元个数、连接方式、连接权值是按照PID控制规律的已有原则和经验确定的，是一种动态的符合控制系统的前向网络。但是由于PID网络初始权值随机取值的原因，每次控制的效果都有所差别，个别情况下控制效果还比较差。本案例研究了基于PID神经元的多变量耦合系统控制，并用PSO算法来优化控制器以取得更好的控制效果。(Multivariable input, output, and more interference, complex nonlinear and strong coupling system control is a more difficult problem, commonly used multivariable controller may be because the problem is difficult to control the coupling system. PID neural network is a multi-front to neural networks, its number of neurons in each layer, connection, connection weights are in accordance with the existing principles and experience to determine the PID control law is a dynamic compliance before the control system to the network. However, due to the random initial weights of the network PID values ​ ​ of reason, every time there are differences in the effect of control and in some cases the control effect is still relatively poor. This case study of multivariable coupling system based on PID control neurons, and with PSO algorithm to optimize the controller to achieve better control effect.)

采用Jacobian法计算埃农映射的Lyapunov指数谱，并作相图(For Lyapunov exponent.)

实现2X2MMO系统的通信，并对其进行BER-Eb/No分析(Achieving the 2X2MMO system communication, and its BER-Eb/No analysis)

是matlab之语音处理与合成工具箱这本书的随书程序，很实用哦。珍藏！！！(good!!It s useful for you !!!!!)