classification

用Matlab软件画出给定区域的 空间曲面图形.(Using Matlab software to draw a given region of space-surface graphics.)

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语言 kalman开发 适用于初学者 (matlab language the kalman development suitable for beginners)

matlab悬置系统频率与解耦率计算程序(matlab mounting system frequency decoupling rate)

运用MATLAB实现对图形图像的处理，包括生成Gif图片，实现图片去噪、滤波，图像均值、中值，直线识别等功能。(sing MATLAB for image processing, including generated Gif images, image denoising, filtering, image mean, median, the function such as straight line identification.)

Neural Networks（神经网络）在Matlab中的应用(Neural Networks (neural networks) applications in Matlab)

布谷鸟搜索算法，利用布谷鸟搜索觅食的特点对数据进行搜索优化。(Cuckoo search algorithm uses the characteristics of cuckoo search and foraging to search and optimize the data.)

现代信号处理习题答案，详细讲解每个章节的主要内容和课后习题(Modern signal processing problem sets, elaborate on each section of the main content and after-school exercise)

机器人二维绘图的matlab程序，应该有二十二个字了吧。(Robot dimensional drawing matlab program, there should be twenty-two word of it.)

说明：  利用粒子群优化算法对支持向量机中的核函数参数和惩罚参数进行优化是非常有效的手段，可以大大提高鲁棒性。实际过程中读者可通过下载我上传的代码，简单进行修改和阅读附件论文即可快速掌握相关方面的知识，快速使用这一方法。(Particle swarm optimization (PSO) is a very effective method to optimize the kernel function parameters and penalty parameters of SVM, which can greatly improve the robustness. In the actual process, readers can quickly grasp relevant knowledge and use this method by downloading the code I uploaded, simply modifying and reading the attached paper.)