这是NETwork Simulator 2的使用指南，NS2是进行网络开发的重要工具，通过NS的模拟，可以花极小的代价来验证所开发的算法的效果
上传时间： 2016-11-29
上传用户：tzl1975
NetBios NETwork programming
标签： programming NetBios NETwork
上传时间： 2013-11-26
上传用户：zhuyibin
A passive optical NETwork (PON) is a point-to-multipoint, fiber to the premises NETwork architecture in which unpowered optical splitters are used to enable a single optical fiber to serve multiple premises, typically 32-128. A PON consists of an Optical Line Termination (OLT) at the service provider s central office and a number of Optical NETwork Units (ONUs) near end users. A PON configuration reduces the amount of fiber and central office equipment required compared with point to point architectures
标签： NETwork point-to-multipoint architecture premises
上传时间： 2016-12-10
上传用户：王庆才
计算最优化网络节点传输路径的neural NETwork 模型，测试通过4个nodes
上传时间： 2013-12-20
上传用户：xc216
3-4-2 neural NETwork algorithum
标签： algorithum NETwork neural
上传时间： 2016-12-14
上传用户：lz4v4
1-1-1 neural NETwork
上传时间： 2014-01-21
上传用户：zhanditian
using delta rule neural NETwork
标签： NETwork neural using delta
上传时间： 2014-12-22
上传用户：talenthn
根据微软权威的软件开发指南MSDN（Microsoft Developer NETwork）的定义，ActiveX插件以前也叫做OLE控件或OCX控件，它是一些软件组件或对象，可以将其插入到WEB网页或其它应用程序中。
标签： Developer Microsoft NETwork MSDN
上传时间： 2013-12-25
上传用户：xfbs821
* Lightweight backpropagation neural NETwork. * This a lightweight library implementating a neural NETwork for use * in C and C++ programs. It is intended for use in applications that * just happen to need a simply neural NETwork and do not want to use * needlessly complex neural NETwork libraries. It features multilayer * feedforward perceptron neural NETworks, sigmoidal activation function * with bias, backpropagation training with settable learning rate and * momentum, and backpropagation training in batches.
标签： backpropagation implementating Lightweight lightweight
上传时间： 2013-12-27
上传用户：清风冷雨
neural NETwork utility is a Neural NETworks library for the C++ Programmer. It is entirely object oriented and focuses on reducing tedious and confusing problems of programming neural NETworks. By this I mean that NETwork layers are easily defined. An entire multi-layer NETwork can be created in a few lines, and trained with two functions. Layers can be connected to one another easily and painlessly.
标签： Programmer NETworks entirely NETwork
上传时间： 2013-12-24
上传用户：liuchee
