matlab-dsolve

is-95和2000的 前向链路仿真 源程序 发射机和 信道 及接收机的完整程序。另有复杂信道的源程序 可以联系 索取。(is a complete program of-95 and 2000, the first to link simulation source transmitter, channel and receiver. Another source of complex channel can be obtained by contacting.)

风力发电的仿真模型 上传出来，希望大家共同学习进步。(Simulation model of the wind power)

描述光在非线性介质中的传输，用的方法为分布付里叶方法。(Described in the non-linear optical transmission medium, the methodology used for the distribution of Fourier methods.)

matlab毕业编程【谷速软件】应用程序启动时显示闪屏 (matlab graduate program displays a splash screen when [Valley] application launch speed software)

matlab中有关调制识别的程序说明，对仿真识别很有帮助(In MATLAB on modulation recognition program, very helpful for simulation and identification)

hooke code hooke code hooke code hooke code hooke code

说明：  Jacobi迭代法和SOR方法求解线性方程组(Jacobi iterative method and the SOR method for solving linear equations)

详细介绍了编码原理的基础知识，是编程的入门级必备教材(Details the basics of coding theory, is an essential textbook entry-level programming)

求解一个方程，用画图命令，将求解的过程描述出来(Solving an equation, with the drawing command, describe the process of solving)

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.)