這是NETwork Simulator 2的使用指南，NS2是進行網絡開發的重要工具，通過NS的模擬，可以花極小的代價來驗證所開發的算法的效果
上傳時間： 2016-11-29
上傳用戶：tzl1975
NetBios NETwork programming
標簽： programming NetBios NETwork
上傳時間： 2013-11-26
上傳用戶：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
標簽： NETwork point-to-multipoint architecture premises
上傳時間： 2016-12-10
上傳用戶：王慶才
計算最優化網絡節點傳輸路徑的neural NETwork 模型，測試通過4個nodes
上傳時間： 2013-12-20
上傳用戶：xc216
3-4-2 neural NETwork algorithum
標簽： algorithum NETwork neural
上傳時間： 2016-12-14
上傳用戶：lz4v4
1-1-1 neural NETwork
上傳時間： 2014-01-21
上傳用戶：zhanditian
using delta rule neural NETwork
標簽： NETwork neural using delta
上傳時間： 2014-12-22
上傳用戶：talenthn
根據微軟權威的軟件開發指南MSDN（Microsoft Developer NETwork）的定義，ActiveX插件以前也叫做OLE控件或OCX控件，它是一些軟件組件或對象，可以將其插入到WEB網頁或其它應用程序中。
標簽： Developer Microsoft NETwork MSDN
上傳時間： 2013-12-25
上傳用戶：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.
標簽： backpropagation implementating Lightweight lightweight
上傳時間： 2013-12-27
上傳用戶：清風冷雨
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.
標簽： Programmer NETworks entirely NETwork
上傳時間： 2013-12-24
上傳用戶：liuchee
