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其他书籍 You know the rudiments of the SQL query language, yet you feel you aren t taking full advantage of S
You know the rudiments of the SQL query language, yet you feel you aren t taking full advantage of SQL s expressive power. You d like to learn how to do more work with SQL inside the database before pushing data across the network to your applications. You d like to take your SQL skills to the next ...
其他数据库 f your application uses MFC in a shared DLL, and your application is in a language other than the
f your application uses MFC in a shared DLL, and your application is
in a language other than the operating system s current language, you
will need to copy the corresponding localized resources MFC42XXX.DLL
from the Microsoft Visual C++ CD-ROM onto the system or system32 directory,
and rename it t ...
磁盘编程 快速排序算法的C语言的源程序代码 source code written in C programming language for algorithm of quick sort.
快速排序算法的C语言的源程序代码
source code written in C programming language for algorithm of quick sort.
书籍源码 计算器的C语言的源程序代码 (source code written in C programming language for calculation).
计算器的C语言的源程序代码
(source code written in C programming language for calculation).
书籍源码 Huffman编码算法的C语言的源程序代码 (source code written in C programming language for algorithm of Huffman codin
Huffman编码算法的C语言的源程序代码
(source code written in C programming language for algorithm of Huffman coding).
书籍源码 堆排序算法的C语言的源程序代码 (source code written in C programming language for algorithm of heap sort).
堆排序算法的C语言的源程序代码
(source code written in C programming language for algorithm of heap sort).
书籍源码 10个数运算结果得100的C语言的源程序代码 (source code written in C programming language for getting 100 from 10 numbe
10个数运算结果得100的C语言的源程序代码
(source code written in C programming language for getting 100 from 10 numbers).
其他书籍 大名鼎鼎的The c programming language(2nd)的题解
大名鼎鼎的The c programming language(2nd)的题解,必看好书。
Linux/Unix编程 Lilo(system loader)for linux by C language.
Lilo(system loader)for linux by C language.
人工智能/神经网络 本程序实做MLP(Multi-layer perceptron)算法
本程序实做MLP(Multi-layer perceptron)算法,使用者可以自行设定训练数据集与测试数据集,将训练数据集加载,在2、3维下可以显示其分布状态,并分别设定键节值、学习率、迭代次数来训练其类神经网络,最后可观看辨识率与RMSE(Root Mean squared error)来判别训练是否可以停止。 ...