densityslice1

SOM-SVM模型是利用SOM的聚类特点，将含有相同特征的输入样本聚集在一起，并把离聚类中心较远的输入样本舍去。经过20%的样本压缩后，将含有代表性的小样本再送入SVM进行训练。本文的样本集通过实验平台采集，验证了基于支持向量机的频谱感知方法在实际数据测试条件下也能取得很好的感知性能。仿真结果表明，SOM-SVM模型在低信噪比下，频谱检测率接近100%，检测错误率也得到了很好的改善。(The SOM-SVM model is based on clustering characteristics of SOM, the input sample will contain the same features together, and the input samples from far down the clustering center. After 20% samples were compressed, the representative samples were sent to SVM for training. In this paper, the sample set is collected through the experimental platform, and the spectrum sensing method based on support vector machine is proved to be able to achieve good perception performance under the actual data testing conditions. The simulation results show that the detection rate of SOM-SVM model is close to 100% at low SNR, and the detection error rate is also improved.)

It shows the usage of regular native dialog boxes, such as confirm cancel dialog box, pick list dialog box, radio multiple-choice dialog box, and dialog box with progress bar. Friends who need it can download and study it.

VB图像、照片合并合成程序，支持图片的横向、纵向（竖向）合并，合成出来的图片保存成一张图片，只是合并，不包括其它的图像处理功能。

实现管理文件的相关功能，包括添加，删除，修改等。(Realize the relevant functions of management files, including adding, deleting, modifying and so on.)

说明：  面向对象程序设计——IDL的PPT，有绪论，语法基础，图像处理等(Object-oriented programming - IDL PPT, introduction, grammar basis, image processing, etc)

"硬件销售及管理系统"是一个股票的维护或管理过程和库存保存类型数据处理中的应用，通过命名的购买和销售系统所使用的软件 向其客户销售产品的零售商"。大批量数据处理的特点是此应用程序。数据处理包括四项主要任务：数据收集、 数据处理及数据存储和文件编制。

说明：  C语言程序大全c语言被踩白块，适应于 C语言平台，可以用来练习(C language program complete C language 24 point game source code, suitable for C language platform, can be used for practice)

冰点BaiDNS动态域名解析系统是基于VB程序开发，可以进行动态域名解析，具有二级域名申请、登录、修改注册密码和查看解析状态、查看登录日志等功能。 -Freezing point BaiDNS dynamic domain name system is based on the VB development, dynamic DNS can be a secondary domain name application, the registry, modify the registration status of the password and view the resolution to see features such as registry log.

用于数据聚类，无监督学习，可以直接使用，望大家指导批评(For data clustering, unsupervised learning)

erlang的书籍，介绍的很全面，很好。。。。。(erlang programing)