session5

本文论述并设计实现了一个脱机自由手写体数字识别系统。文中首先对待识别数字的预处理进行了介绍，包括二值化、平滑滤波、规范化、细化等图像处理方法；其次，探讨了如何提取数字字符的结构特征和笔划特征，并详细地描述了知识库的构造方法；最后采用了以知识库为基础的模板匹配识别方法,并以MATLAB作为编程工具实现了具有友好的图形用户界面的自由手写体数字识别系统。实验结果表明，本方法具有较高的识别率，并具有较好的抗噪性能。(In this paper, and design implementation of a freely Offline handwritten numeral recognition system. First, identify the figure of the pre-processing treatment were introduced, including binarization, smoothing filtering, standardization, refinement, such as image processing method Secondly, to explore how to extract the structural features of characters and stroke characteristics, and described in detail Knowledge of the construction method Finally the use of a Knowledge-based template matching to identify methods and MATLAB as a programming tool to achieve with a friendly graphical user interface of freely handwritten numeral recognition system. The experimental results show that this method has higher recognition rate, and has better anti-noise performance.)

matlab小程序，希望大家喜欢，谢谢你的爱(matlab small program, hope you like, thank you for your love)

direct neural controller

很好的关于风机的资料,希望对大家有所帮组。(the material of Wind turbines )

该代码为用matlab编写的训练神经网络拟合典型函数曲线的经典程序。(The code is made for training neural network to fit the classical function profile.)

说明：  用栅格模型表示工作环境,确定机器人运动起始结点和目标结点后,对工作环境进行分析,选取起始点与目标点之间连线附近的若干栅格,以被选取栅格为关键点,采用蚁群算法分别计算关键点与起始点和目标节点之间的最短路径,求取全局最短路径(With grid model to represent the working environment, robot motion after initial nodes and target, analysis of working conditions, selecting starting point and the target point near the connection between a number of grid, grid for the key points to be selected, key point and the starting point is obtained by using the ant colony algorithm respectively and the shortest path between the target node, calculate the global shortest path)

对已有协作检测的算法变换参数进行性能仿真比较(Collaborative testing of existing algorithms for performance simulation and comparison of transformation parameters)

说明：  初学MPC的例子,想看的可以来看看,比较简单。(For primary learners who want to study MPC. Those having some interest can have a look at it. It's simple to understand.)

现我做了一个基于RHR算法的李氏指数计算方法，收敛速度很快，精确度也还可以，现传上：(Now I had a RHR algorithm based on Lyapunov exponent calculation methods, fast convergence, accuracy can also now Chuan on:)

说明：  曲线最大最小值标记的MATLAB程序。需要的来下载。(Minimum curve marking the largest program of MATLAB. Need to download.)