1_Neural Network & DeepLearning

说明：  matlab实现ASK数字调制，文档包括ASK调制的两种方法，一种通过IQ调制实现，另外直接进行复数调制，还包含滤波函数。(Realization of ask digital modulation with MATLAB)

说明：  jQuery在线答题考试系统下载是一款以答题卡为主，左边是题目，右边是答题卡。(JQuery Online Answer Examination System downloads an Answer Card, left is the topic, right is the Answer Card.)

VC++从DLL中获得资源的小实例源代码，从DLL中获得背景图像，可者是一个图标资源或是其它类型的文件，总之，学会了一种，就可以举一反三，灵活掌握了。(VC++ from the DLL resources, source code examples to get a background image from the DLL, can an icon resource, or other types of documents, in short, learned, you can learn by analogy, flexibility.)

给出了闪耀光栅的matlab代码，还有各种1d光栅的matlab代码，非常适合新手参阅(The matlab code of the blazed grating is given)

3Dmax8，是最新的三维建模软件，其功能强大，方便使用，极力推荐-3Dmax8, is the latest three-dimensional modeling software, and its powerful, user-friendly, highly recommended

易语言纯汇编模块源码：常用汇编指令集合，远程调试(Easy language assembler module source code: commonly used assembly instructions set, remote debugging)

俄罗斯方块，对c++ builder 初学者有一定好处。(Tetris, the c++ builder for beginners there are certain advantages.)

PSO job shop problem using matlab

这是对图的遍历―广度度优先算法的一种实现。具体不说了。下了自己看-This is a graph traversal- a depth-first algorithm to achieve

说明：  聚类分析是数据挖掘中重要的研究内容之一，对聚类准则进行了总结，对五类传统的聚类算法的研究 现状和进展进行了较为全面的总结，就一些新的聚类算法进行了梳理，根据样本归属关系、样本数据预处理、 样本的相似性度量、样本的更新策略、样本的高维性和与其他学科的融合等六个方面对聚类中近 20多个新算 法，如粒度聚类、不确定聚类、量子聚类、核聚类、谱聚类、聚类集成、概念聚类、球壳聚类、仿射聚类、数据流聚 类等，分别进行了详细的概括。(Clustering analysis is one of the important research contents in data mining. The clustering criteria are summarized. The research status and progress of five traditional clustering algorithms are summarized comprehensively. Some new clustering algorithms are used. By combing, according to the sample attribution relationship, sample data preprocessing, sample similarity measure, sample update strategy, sample high-dimensionality and fusion with other disciplines, nearly 20 new algorithms in clustering, Such as granular clustering, uncertain clustering, quantum clustering, nuclear clustering, spectral clustering, clustering integration, concept clustering, spherical shell clustering, affine clustering, data stream clustering, etc., respectively Generalization.)