tdeb_and_TDEL

在matlab环境下的BP网络预测程序，主要是预测最优加工性能参数(Matlab environment in BP network prediction procedures, mainly predict the optimal processing performance parameters)

3机9节点系统PSS&TCSC比例积分控制器布点(3 machine 9-bus system PSS & TCSC distribution proportional-integral controller)

phase space reconstruction for both univarite and multivarite time series

BP神经网络容易陷于局部极小值，PSO算法在无约束非线性函数优化方面性能优越，通常可以直接找寻到全局最优解，即使不能搜多到全局最优解，也距离全局最优点不远。当然，基本PSO算法陷入局部极值也是有的。对于这个缺点目前还没有找到比较有效、省市的解决方案。本案例实现利用PSO算法和BP算法共同训练神经网络，先将网络进行PSO算法训练，然后BP算法接着进行小范围精细搜索，PSO算法训练神经网络的本质就是将输出误差函数（即能量函数）看成目标函数，PSO对能量函数进行全局寻找最小值。(BP neural networks are prone to local minimum values. The PS algorithm has superior performance in the optimization of unconstrained nonlinear functions. It can usually find the global optimal solution directly. Even if it can not find more global optimal solutions, it is not far from the global best. Of course, there is also a local extreme of the basic PO algorithm. For this shortcoming, there is no more effective, provincial and municipal solution. This case realizes the use of the SO algorithm and the BP algorithm to train the neural network. First, the network is trained in the SO algorithm, and then the BP algorithm is followed by a small range of fine searches. The essence of the PO algorithm training neural network is to regard the output error function(ie, the energy function) as the objective function, and the PO seeks a global minimum value for the energy function.)

MATLAB的图像处理功能，功能十分强大，内容也很丰富(MATLAB image processing functions, is very powerful, very rich in content)

Single-Phase half-controlled bridge rectifier ALPHA=120

demo MPC function !!! using Matlab MPC function to control a system based on DMC method.

无线信道中下行链路,用MATLAB进行仿真(Downlink wireless channel, using MATLAB simulation)

压缩感知算法中观测矩阵为哈达玛矩阵重构算法为OMP时的测量相对误差与观测矩阵维数的关系(Compressed sensing algorithm for the Hadamard matrix of observation matrix reconstruction algorithms for the OMP and the relative error when measuring the dimension of the relationship between the observed matrix)

bacterial foraging codes