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python datamining python 数据挖掘实战(python datamining Data mining practice useful code in study)

用于计算功率谱熵值以及相关系数(Calculation of power spectral entropy and correlation coefficient)

A simple vector operation class and header

说明：  计算某条件下高超声速飞行器再入轨迹优化，优化目标为纬度跨度最大(The re-entry trajectory optimization of hypersonic vehicle under certain conditions is calculated. The optimization objective is the maximum latitude span)

内容和要求 1. 论述课题的性质、内容以及本次课程设计的目的和要求。 2. 说明系统对计算机软、硬件环境的基本要求，对Windows操作系统和VF6.0数据库管理系统简要的说明。 3. 总体设计方案的分析、比较和论证。 4. 数据库的建立，数据库中表的结构，各表中关键字的设置，表与表之间的关系。 5. 应用程序的菜单设计和界面设计，表单和报表的设计。 6. 编写代码、上机输入、调试、修改并运行通过。 7. 编写课程设计说明书。说明书是总结性的技术文件，应全面叙述整个设计的内容及过程（可参考上述6条），发现的问题及解决方法等。 8. 源代码和参考书目应作为说明书的附录。 9. 说明书应采用学校印刷的课程设计专用纸张，文字说明不少于6000字，数据库的总记录条数不少于100条。说明书中应包括系统结构示意图。 10．说明书一律横向装订，装订线在左侧。按目录、正文、 -a content and requirements. Discussed issues of the nature, content and design of the course the purpose and requirements. 2. Note to the computer system software and hardware environment, the basic requirements are that for Windows operating systems and database management systems VF6.0 briefly. 3. Design program analysis, comparison and verification. 4. The creation of the database, the database table structure, the keyword table settings, table and the relationship between the table. 5. Application procedures for the design and menu interface design, and the statements of the form d

一个非常好的生物表源程序-a very good source of biological Table

插值与拟合的matlab实现，一些自适应信号处理的算法，处理信号的时频分析。( Interpolation and fitting matlab implementation, Some adaptive signal processing algorithms, When processing a signal frequency analysis.)

CPSOGSA is a nature inspired algorithm that is inspired by swarm bahavior of birds and fish schooling and gravitational search algorithm which is based on newtons law of gravity and motion. It utilizes the properties of exploration and explitation from GSA and PSO, respectively in order to find global optimum.

地 税 发 票 系 统5.1( delphi 版 本)-地税发票系统

这是一篇关于图像检索的文章，主要内容如下：在第2部分对哈希算法的相关工作和基于深度学习的图像检索进行了回顾，在第3部分详述了所提出的一个新颖算法，最后，在第4部分和第5部分分别给出了实验结果和结论。(This paper is organized as follows: the related work of hashing algorithms and image retrieval with deep learning are briefly reviewed in Section 2. the details of a new method is elaborated on in Section 3. Finally, experimental results are provided in Section 4, followed by conclusions in Section 5.)