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Machine Learning, Neural and Statistical Classification Editors: D. Michie, D.J. Spiegelhalter, C.C. Taylor February 17, 1994

OptWoPC: optimization code without power control

说明：  匈牙利法与最佳匹配分配问题 matlab实现(Hungary and France and to achieve the best matching distribution matlab)

How to draw tetrahedron shape using matlab

系统辨识和自适应控制中极点配置间接自矫正控制(Poles indirectly control the correction in System identification and adaptive control )

matlab源程序，包括各种MATLAB的小程序源码(Matlab source, including small programs MATLAB source!)

经典功率谱估计及其仿真,可以给有需要的同志参考，欢迎下载(Classic power spectrum estimation and simulation)

一个模糊控制在汽车方面的应用程序，a car fuzzy control can be well applied to the characteristics FUZZY (a car fuzzy control can be well applied to the characteristics FUZZY )

基于local ternary pattern feature 和 distance transform-based similarity metric 相结合的人脸方法识别技术研究(combining the local ternary pattern feature and distance transform-based similarity metric method for robust face recognition.)

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.)