上下滑动缩略图字幕效果

树的应用，实现树的递归，非递归的多种顺序查找 -tree applications, the tree is recursive and non- recursive sequence of the multiple search

C++学习随笔-C++STADY

nothing dont open it

关于简单遗传算法和简单bp网络的程序,其中的矩阵相乘速度很快，而且比较容易扩展，即任意多的输入，任意多的隐含层-on simple genetic algorithms and simple bp network procedures, which the matrix multiply very fast, but relatively easy to expand, or arbitrary number of input and any number of hidden layer

功能： 1、查看卷头、道头的主要信息 2、工作站格式与微机格式的相互转换 3、各道数据的波形显示，及其频谱分析 4、多种形式的数据输出，可输出文本文件 5、三维数据体的分析，得出工区角点坐标 6、原始炮数据扫描，找出缺炮的道号 7、对数据体进行任意道及时间段的切割 8、对多个Segy文件进行合并处理 9、给出读取微机格式数据的示意性代码(Function: 1. Check the main information of the header and header 2. The conversion between workstation format and microcomputer format 3. Waveform display of each channel data and its spectrum analysis 4, a variety of forms of data output, can output text files 5, three dimensional data volume analysis, obtained the work area corner coordinate 6, the original data scan to find the missing gun, gun No. 7, the data body for any lane and time segment cutting 8. Merging and processing multiple Segy files 9. The schematic code of reading the data of microcomputer format is given)

基于matlab的三机九节点电力系统仿真(Three machine and nine node power system simulation)

运行优化的相关算法和电力负荷预测的程序，有全套的数据和输出结果(Relevant algorithm of operation optimization and program of power load forecasting)

说明：  周志华 机器学习 机器学习是计算机科学与人工智能的重要分支领域. 本书作为该领域的入门教材，在内容上尽可能涵盖机器学习基础知识的各方面。 为了使尽可能多的读者通过本书对机器学习有所了解。 作者试图尽可能少地使用数学知识. 然而, 少量的概率、统计、代数、优化、逻辑知识似乎不可避免. 因此, 本书更适合大学三年级以上的理工科本科生和研究生, 以及具有类似背景的对机器学 习感兴趣的人士. 为方便读者, 本书附录给出了一些相关数学基础知识简介(machine learningMachine learning is an important branch of computer science and artificial intelligence. As an introductory textbook in this field, this book covers all aspects of basic knowledge of machine learning as far as possible. In order to make as many readers as possible understand machine learning through this book. The author tries to use mathematical knowledge as little as possible. However, a small amount of knowledge about probability, statistics, algebra, optimization and logic seems inevitable. Therefore, this book is more suitable for undergraduates and postgraduates of science and engineering over the third year of the University, as well as people with similar background who are interested in machine learning. For the convenience of readers, the appendix of this book gives some basic mathematical knowledge)

发射，接收通信系统仿真。 1.卷积编码，解码； 2.16QAM，2FSK，2ASK，2PSK调制，解调； 3.误码曲线和误码率计算。(Fired, receiving communication system simulation. 1. Convolutional encoding, decoding 2.16QAM, 2FSK, 2ASK, 2PSK modulation, demodulation 3. BER curves and BER calculation.)

该源码实现了各种EJB之间的调用，可以扩展功能。-achieved between the various EJB call can be expanded.