CEENDAN代码上传

ssm框架做的电商系统，适合中级水平的人员学习参考(The e-commerce system made by the SSM framework)

说明：  一款非常实用的跨浏览器响应式滚动条美化jQuery插件(A very practical cross-browser responsive scrollbar beautifying jQuery plug-in)

说明：  粒子群、模拟退火算法实例，对学习了解有用(Particle swarm, simulated annealing algorithm examples, useful for learning)

说明：  四旋翼无人机仿真 悬停控制 稳定 控制系统建模(simulink.Simulation hover control stability control system modeling of four-rotor uav)

ADO-Tool.1.5.2.LV711 与数据库链接的工具-ADO-Tool.1.5.2.LV711 tools and database links

几篇关于graph cut的论文,GRABCUT彩色图像分割算法的研究,基于GRAPH CUT的快速纹理合成算法(Several papers on graph cut paper, GRABCUT color image segmentation algorithm, based on GRAPH CUT Fast Texture Synthesis Algorithm)

2019版FDTD2GDS,最新版的到处GDS文件(2019 version FDTD 2 GDS)

说明：  copula函数实现程序包，有效实现工具(Implementation of Copula)

VB.net实例源代码，可以帮助您学习一下-VB.net examples of source code, can help you learn from this

说明：  主成分分析方法PCA与灰度共生矩阵GLCM 主成分分析方法是一种使用最广泛的数据降维算法。 灰度共生矩阵是一种描述图像局部区域或整体区域的某像素与相邻像素或一定距离内的像素的灰度关系的矩阵。即求灰度图像中某种形状的像素对，在全图中出现的次数。(PCA and Gray Co-occurrence Matrix GLCM The principal component analysis method is one of the most widely used data reduction algorithms. The gray level co-occurrence matrix is a matrix describing the gray level relationship between a pixel in a local area or an entire area of an image and neighboring pixels or pixels within a certain distance. That is to find the number of times a pixel pair of a certain shape appears in the whole image in a grayscale image.)