搜索结果
找到约 139 项符合
implemeNTs 的查询结果
按分类筛选
- 全部分类
- matlab例程 (19)
- 人工智能/神经网络 (13)
- Java编程 (9)
- 单片机开发 (8)
- 其他 (8)
- 微处理器开发 (6)
- 驱动编程 (5)
- 数学计算 (5)
- 加密解密 (5)
- 网络 (4)
- Linux/Unix编程 (4)
- 数据结构 (4)
- JavaScript (4)
- 文件格式 (4)
- Internet/网络编程 (3)
- 数值算法/人工智能 (3)
- Applet (2)
- 串口编程 (2)
- J2ME (2)
- Delphi控件源码 (2)
- 其他书籍 (2)
- 压缩解压 (2)
- 软件设计/软件工程 (2)
- 单片机编程 (1)
- 数据库系统 (1)
- 电子书籍 (1)
- USB编程 (1)
- Java书籍 (1)
- 其他行业 (1)
- 其他数据库 (1)
- SCSI/ASPI (1)
- VHDL/FPGA/Verilog (1)
- 书籍源码 (1)
- 文章/文档 (1)
- Windows CE (1)
- GPS编程 (1)
- CA认证 (1)
- 金融证券系统 (1)
- 汇编语言 (1)
- 通讯编程文档 (1)
- SQL Server (1)
- 嵌入式/单片机编程 (1)
- 源码 (1)
- 技术资料 (1)
单片机开发 a3load is 8051 firmware that can be used for uploading or downloading to EZ-USB RAM (internal or ex
a3load is 8051 firmware that can be used for uploading or downloading
to EZ-USB RAM (internal or external). It implements the vendor specific
command bRequest = 0xA3. The address to download/upload to/from is
specified in the wValue field of the SETUP packet and the length of
the transfer in the wL ...
微处理器开发 SWI with ARTX Kernel and RealView Compiler This example program shows how to implement software int
SWI with ARTX Kernel and RealView Compiler
This example program shows how to implement software interrupt functions in an application that uses the ARTX Kernel. The example uses the RealView Compilation Tools.
The file SWI_Table.s implements the SWI function table. The SWI function declarations and ...
Java书籍 ? Java函数速查 你能很快的查到你要的函数 DataBinding类 代表数据源字段和组件属性之间一个单独的绑定。 package com.ms.wfc.data.ui
? Java函数速查
你能很快的查到你要的函数
DataBinding类
代表数据源字段和组件属性之间一个单独的绑定。
package com.ms.wfc.data.ui
public class DataBinding
implements IConstructable
说明
DataBinder控件使用该类来表示数据源中的每一个绑定。
请参阅：《Microsoft Visual J++ 6.0 程序员指南》第18章“W ...
人工智能/神经网络 This collection of C++ templates wraps the FORTRAN or C interfaces for LAPACK so that they integrate
This collection of C++ templates wraps the FORTRAN or C interfaces for LAPACK so that they integrate with the Boost uBLAS library. Currently implements Cholesky decomposition, LU decomposition, inversion and determinant for general and positive-definite matrices.
网络 Dropbear is an SSH 2 server, designed to be usable in small memory environments. It supports:
Dropbear is an SSH 2 server, designed to be usable in small memory environments.
It supports:
* Main features of SSH 2 protocol
* Implements X11 forwarding, and authentication-agent forwarding
for OpenSSH clients
* Compatible with OpenSSH ~/.ssh/authorized_keys public key
authentication ...
其他数据库 java 数据库 功能强大 效率高 SmallSQL Database is a free DBMS library for the Java(tm) platform. It runs on
java 数据库 功能强大 效率高
SmallSQL Database is a free DBMS library for the Java(tm) platform. It runs
on the Java 2 Platform (JDK 1.4 or later) and implements the JDBC 3.0 API.
SmallSQL Database is licensed under the terms of the GNU Lesser General
Public Licence (LGPL). A copy of the licence is ...
Internet/网络编程 rdesktop is a client for Microsoft Windows NT Terminal Server, Windows 2000 Terminal Services, Wind
rdesktop is a client for Microsoft Windows NT Terminal Server, Windows 2000
Terminal Services, Windows 2003 Terminal Services/Remote Desktop, Windows XP
Remote Desktop, and possibly other Terminal Services products.
rdesktop currently implements the RDP version 4 and 5 protocols.
驱动编程 This directory builds the Tape class driver for Microsoft® Windows® Server 2003. The class dri
This directory builds the Tape class driver for Microsoft&reg Windows&reg Server 2003. The class driver implements device-independent support, and exports support routines for device-specific tape miniclass drivers. It handles device-independent tape requests and calls the tape minidriver routines t ...
Java编程 java语言开发的P2P流媒体系统
java语言开发的P2P流媒体系统，“Stream-2-Stream implements multicast+, a next generation streaming protocol. Multicast+ is more efficient and requires less bandwidth than direct streaming (e.g. shoutcast/icecast). Stream-2-Stream (abbreviated "s2s" or "S2S") stations have no user limit stations can b ...
人工智能/神经网络 Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifie ...