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MATLAB的神经网络工具箱实用指南. 第一章是神经网络的基本介绍，第二章包括了由工具箱指定的有关网络结构和符号的基本材料以及建立神经网络的一些基本函数，例如new、init、adapt和train。第三章以反向传播网络为例讲解了反向传播网络的原理和应用的基本过程。(MATLAB neural network toolbox of practical guidance. The first chapter is a basic introduction to neural networks, and the second chapter, including the toolbox designated by the network structure and symbols related to the basic material and the establishment of neural network, some basic functions, such as new, init, adapt and train. Chapter III to back-propagation network as an example to explain the back-propagation network, the basic principle and application process.)

运动模型的matlab实现，二维三维模型(the realizing of motion sports by matlab,contain two dimension and three dimension)

本文介绍了matlab-simulink中的库模块的功能及使用方法。(This article describes the matlab-simulink library modules in the function and use.)

成像算法 RD、RMA、CS 的 matlab程序(Imaging algorithm RD, RMA, CS The matlab program)

transformation matrices for a wireframe cube

IEEE33节点含DG遗传算法，简单实用，适合初学者学习，可用于配电网重构(Genetic algorithms, simple and practical, suitable for beginners to learn, can be used for distribution network reconfiguration)

能够实现几种经典的分类算法（ID3，C4.5等）(It can inmplement several classic classification algrorithm(ID3，C4.5,etc.))

计算三层框架的损伤前后响应的对比，对于结构健康监测比较实用(Three frames before and after damage calculation response contrast, more practical for structural health monitoring)

标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is  possible from  M=O(Klog(N/K))  measurements. We demonstrate that it is possible to substantially  decrease  Mwithout sacrificing robustness by leveraging more  realistic signal models that go beyond simple sparsity and  compressibility by including dependencies between values and  locations of the signal coefficients.   )

说明：  数模2015A题程序设计，给定影子长度计算所在位置的经纬度。(MCM 2015A The program design of digital and analog question 2015A calculates the longitude and latitude of the position given the shadow length.)