kruskal

matlab GA algorithm~~~（zz）(matlab GA algorithm~~~)

本程序可用于实现最小均方误差算法 (LMS algorithm)

说明：  用matlab模拟仿真锁相环，一个很好的程序，希望能帮到你(PLL with matlab simulation, a very good program, hope you can help)

NA解TSP,操作环境matlab 附中文注释(program of NA to solve tsp)

matlab仿真的，功能是实现相关峰值的提取。能够在低信噪比下得到效果较好的相关峰(matlab simulation, feature extraction is to achieve correlation peak. Able to get better low SNR correlation peak)

title bar 示例 title bar 示例 (title bar examples title bar examples title b ar Example)

矢量控制系统中的PI调节器，此为磁链调节器(PI regulator vector control system, this flux regulator)

Digital signal processing using Matlab

matlab SVM及ANN预测，这里是源代码，这里是源代码，这里是源代码(SVM and ANN prediction, here is the source code, the source code, here is the source code.)

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.)