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
