lansvd_d1

支持向量机分类器的工具箱，可以载入自己的数据实现支持向量机分类。(Support vector machine classifier toolkit, you can load your own data to achieve support vector machine classifier.)

matlab voicebox音频处理工具箱含有音频处理的各种算法(matlab voicebox audio processing toolbox contains a variety of audio processing algorithms)

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.)

different classifier for matlab

finite difference scheme for the thin plate equation with loss

symbol demapping system in matlab

29个数学建模常用模型，内涵详细介绍，国赛省赛美赛常用模型(29 commonly used mathematical modeling model, content in detail, the US national tournament provincial tournament match common models)

这是一本关于数值计算方法的书，编程工具可选用matlab和mathematica(This is a book on numerical methods, programming tools can be used matlab and mathematica)

This is a MATLAB GUI app. with attached Luenbergers obserwer for 2 pots

将txt中的数据导入matlab中并形成x1,y1,x2,y2...，的变量名，方便管理和调用(Read data in txt file into matlab and generate variables like x1,y1,x2,y2 and so on. Manage the variables for convenience)