- vi-(.exe) labview 上如何将VI转换成执行档
- matlab-example 这里面包括近百个matlab常用函数的例程
- UtilDao.java 在JDBC中如何来连接数据库
- OwnerElement The "get()" will return the Element node this attribute is attached to or null if this attribute is not in use. Get the "domestic" attribute from the first "address" node.
- chapter-14 上海交通大学《数据结构:思想与实现》 翁慧玉/俞勇编 第十四章作业 14.1 14.3 14.6
- boke 博客系统
资源列表
p4vasp-0.3.30
- Features Open source, GPL license. Written in python (and a bit of C++), supports Linux, Windows, macOS/OSX. Support of most VASP file formats. Displays structure, unitcell, supercell, charge/probability/spin density, local potential, forces, vel
sufa
- Algorithm(算法)一词本身就十分有趣。初看起来,这个词好像是某人打算要写 “Logarithm”(对数)一词但却把头四个字母写的前后颠倒了。这个词一直到1957年之前在Webster s New World Dictionary(《韦氏新世界词典》)中还未出现,我们只能找到带有它的古代涵义的较老形式的“Algorism”(算术),指的是用阿拉伯数字进行算术运算的过程。在中世纪时,珠算家用算盘进行计算,而算术家用算术进行计算。中世纪之后,对这个词的起源已经拿不准了,早期的语言学家试图推断它
10234
- 图像处理与信号处理的一些源程序。。。。。比如小波变换,二值化,区域标记等等。-Source of image processing and signal processing program ... ... Such as the wavelet transform, binary, labeling, and so on.
inverse-pendulum
- 自动化教学过程中的倒立摆实验,通过搭建simulink,编写控制代码,实现倒立摆的平衡-Automate the process of teaching the inverted pendulum experiment, by building simulink, write control code to achieve the balance of the inverted pendulum
Y8MTPS205
- matlab simulink files and documents supporting the
Matlab_BP
- BP神经网络学习资料,介绍的很详细,适合初学者-BP neural network learning materials, described in great detail, suitable for beginners
principle-and-algorithm-of-data-mining-
- principle and algorithm of data mining
AlgarithmofDataMining
- 数据挖掘原理与算法,一本详细介绍数据挖掘算法的好书~
Queen
- 八皇后回溯法的MFC实现,有界面输出结果,共92种算法-8 queens back law, have the interface to realize MFC output, 92 kinds of algorithms
fuzzy
- 一份学习模糊控制很好的资料,希望能够给大家提供帮助。-a good reference about fuzzy control,hope it can help somebody!
shujuwajue
- 数据挖掘各种相关算法和原理,内有详细说明,有兴趣的可以下-All relevant data mining algorithms and theory, there are detailed instructions, are interested in can be done next
11数据降维_配套代码
- 这是吴恩达在course公开课上讲的数据降维的作业的代码,主要是应用PCA对数据降维(This is Wu Enda in the course open class lectures on data dimension reduction operations code, mainly using PCA for data dimensionality reduction)
