GHDP

说明：  多目标遗传算法二代，可直接使用，内有详细说明(NSGA_2,can be used directly,which is explained in detail)

无标度网络结构相对简单,实现算法与可视化并不困难。与其它语言相比,Matlab 语言具有丰富的数学 函数库,能够写出简约的源代码。对于非计算机专业的大学生来说,以此为基础,能够快速进入复杂网络前沿 研究课题,对其数学建模能力和科研能力的培养极为有益。(Scale-free network structure is relatively simple algorithm is not difficult and visualization. Compared with other languages, Matlab language with a rich library of mathematical functions, can be simple to write the source code. For non-computer science students is as a basis to quickly enter the complex network of cutting-edge research topics, their mathematical modeling and scientific research is extremely useful ability.)

使用BP算法实现语音识别及预测的功能，调试可用(BP algorithm to achieve the function of speech recognition and forecast)

EKF—SLAM 机器人定位和地图创建 教程是关于SLAM的系列教程，从网上下载，本人觉得讲解非常详细，并配有习题供动手实践， 非常适合初学者学习使用。本人学习后，实现了课后作业的所有程序，一并打包上传，供大家共 同学习探讨(EKF—SLAM )

induction motor servo drive

bilioniar algorithm ( image processing)

在提取出图像边缘后，进行图像的边缘拟合时使用(In the extracted edge image after image of the edge of the use of fitting)

adaptive control tutorial第二章习题程序(chapter 2 of adaptive control tutorial)

分形参数计算程序的分享；word 文档内涵程序matlab(The calculation program of the fractal parameter word document sharing the content of the program matlab)

传算法（Genetic Algorithm）是一类借鉴生物界的进化规律（适者生存，优胜劣汰遗传机制）演化而来的随机化搜索方法。它是由美国的J.Holland教授1975年首先提出，其主要特点是直接对结构对象进行操作，不存在求导和函数连续性的限定；具有内在的隐并行性和更好的全局寻优能力；采用概率化的寻优方法，能自动获取和指导优化的搜索空间，自适应地调整搜索方向，不需要确定的规则。遗传算法的这些性质，已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。它是现代有关智能计算中的关键技术(Propagation algorithm (Genetic Algorithm) is a law of evolution in biology class reference (survival of the fittest, survival of the fittest genetic mechanisms) randomized search method evolved. It was first proposed by the United States J.Holland professor in 1975, and its main feature is to operate directly on the structure of the object, the continuity of the derivative and the function limitation does not exist with global implicit parallelism inherent and better optimization capability the use of probabilistic optimization method that can automatically obtain and guidance to optimize the search space adaptively adjust the search direction, the rule does not require determined. The nature of the genetic algorithm, has been widely used in combinatorial optimization, machine learning, signal processing fields, such as adaptive control and artificial life. It is about smart modern computing key technologies)