预处理

用matlab实现的一个连续概率分布的HMM程序，可以结合《MATLAB扩展编程》一书中关于HMM的介绍(Using matlab to achieve a continuous probability distribution of the HMM program, you can combine MATLAB programming expansion, a book on the introduction of the HMM)

模型不确定的RBF网络逼近 matlab6.5编写(RBF network model of uncertainty close to the preparation of matlab6.5)

基于matlab的数字图像处理函数汇总 供新手学习(ji yu matlab de shu zi tu xiang chu li han shu hui zong)

initiation to matlab in french langage

MATLAB遗传算法工具箱,为遗传算法的实现提供了极大的方便(MATLAB genetic algorithm toolbox for the genetic algorithm provides a great convenience)

说明：  matlab下的遗传算法，针对的是罚函数下的遗传算法优化(Matlab under the genetic algorithm, for the penalty function of the genetic algorithm optimization)

先进PID控制MATLAB仿真程序实例第四版

Restauration virtuelle de l’art pariétal paléolithique le cas de la grotte de Marsoulas

An edge assisted sliding window decorrelator (EASWD) is proposed to enhance the performance of CDMA receiver. A one-shot decorrelator is used to estimate the edge bits for edge correction of windowed sequence of sliding window decorrelator.

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.)