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说明：  Induction machine model

说明：  K最近邻(K-Nearest Neighbor，KNN)分类算法，是一个理论上比较成熟的方法，也是最简单的机器学习算法之一。(K nearest neighbor (K-Nearest Neighbor, KNN) classification algorithm, is a more mature approach in theory is the simplest machine learning algorithms.)

粒子滤波案例，结构有待改进,希望大家提点意见谢谢(the particle filtering method which needs to be modified by others)

base_band.rar文件解压后可以在matlab平台直接编译运行，实现通信系统的升余弦基带 成型处理，码元速率，采样率、滚降系数都可以灵活设置，特别方便学习通信的同学加深对基带信号的理解。(base_band.rar unzip the files can directly compile and run matlab platform to achieve communication system raised cosine baseband shaping processing, chip rate, sample rate, roll-off factor can be set flexibly, in particular, to facilitate students to learn to communicate better to the base band signal understanding.)

matlab,图像细化函数，适合字符图像细化(matlab, image thinning function for the character image thinning)

1. 对LBG算法的理解和使用； 2.Matlab矩阵数据的处理。(Understood that the use of vector quantization for image quantized principle: a number of samples of the sequence are jointly quantified, instead of a similar set of values ​ ​ with a value, to reduce the quantization error master Vector quantizer codebook design, the experimental use LBG algorithm codebook design 3. LBG algorithm to understand and use 4.Matlab matrix data processing.)

说明：  matlab在工程数学方面应用的学习书籍，让大家更加了解matlab的使用方法(Learning books on matlab application in engineering mathematics, let everyone know more about the use of matlab)

MATLAB6.0数学手册 本教程提供了使用MATLAB的实践性指导，它基于MATLAB6.0版，内容由浅入深，特别是本书对每一条命令的使用格式都作了详细而又简单明了的说明，并配备了例题加以说明其用法，因此，对于初学者自学是很有帮助的；同时，又对数学中的一些深入问题如数值分析、稀疏矩阵、优化理论以及模糊数学等问题进行了较为详细的论述，因此，该书也可作为科技工作者的科学计算工具书。(MATLAB6.0 Mathematics Handbook)

Evolutionary design for a PD controller for a tanker ship

MATLAB粗糙集属性约简库（内含实例，原创） 函数M文件： TargetOptFcn.m ------------ 遗传算法的目标函数 PositiveRegion.m --------- 计算正域 LowerApproximation.m ------ 计算下近似 IsSub.m ------------------- 判断集合A是否是集合B的子集 EquivalentClassSet.m ----- 基于R分类的所有等价类的集合，即U/R EleEquivalentSet.m ------- 计算包含某元素的一个分类 DependencyDegree.m -------- 计算依赖度 (MATLAB rough set attribute reduction library (including examples, original) The function M file: TargetOptFcn.m---------------- The objective function of genetic algorithm PositiveRegion.m-------------- Computing positive region LowerApproximation.m---------- Calculation of approximation IsSub.m----------------------- Judgment if set A is a subset of the set B EquivalentClassSet.m---------- A collection of all the equivalence classes based on R classification, U/R EleEquivalentSet.m------------ Calculation contains an assortment of an element DependencyDegree.m------------ Dependence computation)