shuangfeng

形态学，在模式识别系统中，判断两个形状的区别。(morphology )

MATLAB2010的教程，电子书籍，很详细(MATLAB2010 tutorials, e-books, very detailed)

数值积分方法计算积分方程，利用复化辛普森公式离散积分项(Integral equation numerical integration method, the use of complex discrete integral term of Simpson formula)

一阶倒立摆建模，仿真效果的程序，同时还进行了极点配置！(Inverted pendulum modeling, simulation results of the procedure, but also for the pole assignment!)

用来测试手机待机情况下所能使用的最大内存量，普通用函数调用得到的剩于内存是错误的，这个通过用INT占用内存来获得可以使用的内存真正空间大小(Used to test mobile phone standby cases the maximum amount of memory can be used by the general use function calls get left in the memory is wrong, it occupied by the memory by using INT can be used to obtain the real memory space)

耦合影响格子序列仿真，随机性，平衡性，级多瓣分治混沌序列在cnma中的应用(Simulation of the impact of lattice coupling sequence, randomness, balance, class of chaotic sequence多瓣divided the application in cnma)

自己做的异步电机矢量控制模型，通过运行，验证有效，word文档中有详细的建模方法。(Do their own model of induction motor vector control, by running, verify that the effective, word document in detail the modeling method.)

这是一本有关MATLAB的参考书，适合于使用MATLAB或正在打算使用MATLAB的读者。本书另辟蹊径可以借助或不借助MATLAB随带的文档资料让读者自学MATLAB。书中口语化的风格,使读者易于阅读。如书名所示,本书提供了读者精通MATLAB所需的工具。作为编程语言和可视化工具,MATLAB具有丰富的一系列功能,可解决工程、科学计算和数学学科中许多问题。本书的基本目的是通过向读者展示如何有效地使用这些功能来帮助读者增强工作能力!(This is a reference book about MATLAB, suitable for use or are planning to use MATLAB MATLAB readers. This book can open a new path with or without the help of MATLAB documentation that comes with the reader learning MATLAB. Colloquial style of the book, the reader easy to read. Such as the title indicates, this book offers readers the tools needed to master MATLAB. As a programming language and visualization tools, MATLAB has a rich range of functions, solve engineering, scientific computing and mathematical disciplines, many of the problems. The basic purpose of this book by showing readers how to effectively use these features to help readers enhance the ability to work!)

经典的k均值聚类算法，用于无监督学习和数据分类，广泛应用于数据处理和模式识别领域(Classical k-means clustering algorithm for unsupervised learning and data classification, widely used in data processing and pattern recognition)

用GA训练BP网络的权值、阈值从而优化神经网络(GA training BP network with the right value, the threshold in order to optimize the neural network)