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matlab algorithm matlab教程 插值算法(matlab algorithm)

The optimization behavior of the self-adaptation (SA) evolution strategy (ES) with intermediate multirecombination (the (=I )-SA-ES) using isotropic mutations is investigated on the general elliptic objective function. An asymptotically exact quadratic progress rate formula is derived. This is used to model the dynamical ES system by a set of difference equations. The solutions of this system are used to analytically calculate the optimal learning parameter  . The theoretical results are compared and validated by comparison with real (=I )-SA-ES runs on typical elliptic test model cases. The theoretical results clearly indicate that using a model-independent learning parameter  leads to suboptimal performance of the (=I )-SA-ES on objective functions with changing local condition numbers as often encountered in practical problems with complex fitness landscapes.

this is a powerful toolbox for model predictive control in matlab

Adaptive Multiuser OFDM systems

双馈感应风力发电机的模型，矢量控制，定子电压定向，完全自己搭建(Doubly fed induction wind generator model, vector control, the stator voltage oriented, to build their own completely)

一个除法计算器和字母统计器，作为例程，希望可以让初学者快乐学习matlab，体验其中的快乐，毕竟兴趣才是最好的老师；(A calculator and letters and Statistics division, and as a routine, I hope will allow beginners to learn Happiness matlab, experience one of the happy, interested, after all, is the best teacher )

this is a great source for helping in MATLAB

在图论的最短路问题中，我们经常用到floyd和Dijkstra来解决问题(In graph theory, shortest path problem, we often use the floyd and Dijkstra to solve the problem )

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.)

小波奇异性检测代码,利用小波多分辨率的特性将突变信号进行多尺度分解，然后通过分解后的信号来确定突变信号的变位置.(This is a study on the Matlab wavelet)