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说明：  CN对图像进行像素级的分类，从而解决了语义级别的图像分割（semantic segmentation）问题。与经典的CNN在卷积层之后使用全连接层得到固定长度的特征向量进行分类（全联接层＋softmax输出）不同，FCN可以接受任意尺寸的输入图像，采用反卷积层对最后一个卷积层的feature map进行上采样, 使它恢复到输入图像相同的尺寸，从而可以对每个像素都产生了一个预测, 同时保留了原始输入图像中的空间信息, 最后在上采样的特征图上进行逐像素分类。(CN classifies images at the pixel level, thus resolving the problem of semantic segmentation at the semantic level. Unlike classical CNN, which uses full-connection layer to get fixed-length feature vectors after convolution layer for classification (full-connection layer + soft Max output), FCN can accept any size of input image, and uses deconvolution layer to sample feature map of the last convolution layer to restore it to the same size of input image, so that each pixel can be generated. At the same time, the spatial information of the original input image is retained. Finally, the pixel-by-pixel classification is carried out on the feature map sampled above.)

说明：  把图片表示成一个向量，通过计算向量之间的余弦距离来表征两张图片的相似度。(The image is represented as a vector, and the cosine distance between the vectors is calculated to represent the similarity of the two images.)

1：场景一主要有两个功能，第一个是控制左边图片，第二个是让右边文字逐一显示。2：场景二功能简单一点，只控制左边人物出现，紧接着是文字显示。3：场景三功能控制图片弹跳显示，我用for循环控制弹跳距离。4：场景四控制图片从顶部往下滑落，停留1秒然后滑向右侧直至消失。5：场景五慢慢显现，可点击进入婚礼。6：场景六显现停留1.6秒，然后以碎片的形式向外散开。7：场景七祝福贴纸随机排布，并且可拖动祝福贴纸。8：添加祝福语中，需填写祝福语，否则不让提交。可提交的祝福语便随机散布在祝福墙中，可实现随意拖动功能

将nc文件批量转为tif格式的小程序，在idl中运行(batch tool used for netcdf to tif)

利用matlab绘制自定义的B样条曲线和曲面，有例子(Using matlab to draw custom B-spline curves and surfaces, some examples are given.)

拼图游戏，可以自己改换照片。放入任意自己想用的照片，程序可以分割放置，让玩家拼起来-Jigsaw puzzle, you can change their own photos. Add any of the photos themselves would like to use, the program can be divided place, allows gamers to put together

资产管理系统,大家可以下载下去借鉴一下,望各位多加指导-Asset management system, everyone can download it from you, hope that more guidance

公英制互转换器，初学VC时的小程序，对平时工程制图有些用处。(Metric to Imperial Units )

BP神经网络预测算法MATLAB源程序，用于混沌时间序列预测。(BP neural network prediction algorithm MATLAB source code for chaotic time series prediction.)

地震解释中，读取sac文件中的采样率，台站位置，起止时间等全部信息(In the seismic interpretation, this function can read many information such as sampling rate, station location, start and stop time in sac files)