<bdo id="0qosm"></bdo> <abbr id="0qosm"></abbr> Isisns is an extension of netWork Simulator (ns) for the IS-IS routing protocol. It is focused on simulation of netWork dynamics and convergence.
標簽： Simulator extension protocol netWork
上傳時間： 2016-11-06
上傳用戶：thesk123
DSR-UU is a DSR implementation that runs in Linux and in the ns-2 netWork simulator. DSR-UU implements most of the basic DSR features specified in the DSR draft (version 10). One big exception is flow extensions. DSR-UU does NOT use ARP, so do not be surprised if you do not see ARP traffic. DSR-UU instead uses its own neighbor table that sets up the MAC-to-IP translation during route discovery.
標簽： DSR-UU implementation simulator netWork
上傳時間： 2016-11-06
上傳用戶：er1219
This code in this directory implements the binary hopfield netWork.Source code may be found in HOPNET.CPP. A sample training file is H7x8N4.trn. Sample test pattern files are: H7x8D4.TST, H5x8D7.TST,H5x8D7.TST and H5x8D9.TST, Output of the program goes to both the screen and a file, ARCHIVE.LST.
標簽： code implements directory hopfield
上傳時間： 2013-12-27
上傳用戶：ruixue198909
netWork analyse with matlab:本課件講解了用matlab來分析網絡性能的方法和一些簡單的程序
標簽： matlab netWork analyse with
上傳時間： 2013-12-25
上傳用戶：zhichenglu
fast event library,can used in netWork file or serial io
標簽： library netWork serial event
上傳時間： 2013-12-11
上傳用戶：Andy123456
This complete matlab for neural netWork
標簽： complete netWork matlab neural
上傳時間： 2016-11-17
上傳用戶：wsf950131
C++經典書籍之二C++ netWork Programming
標簽： Programming netWork 書籍
上傳時間： 2014-01-20
上傳用戶：zhliu007
Unix netWork Programming TheSocketsnetWorking API VOLUME 1 （THIRD EDITION） .chm格式英文版電子書及隨書示例源代碼。
標簽： TheSocketsnetWorking Programming netWork EDITION
上傳時間： 2016-11-24
上傳用戶：xsnjzljj
classic SOM program for using with Matlab Neural netWork toolbox useful for data classification etc.
標簽： classification for classic program
上傳時間： 2013-12-14
上傳用戶：csgcd001
BP neural netWork for time series analysis predicted that by entering the corresponding time-series data to predict the future, suitable for beginners on the BP neural netWork learning
標簽： corresponding time-series predicted analysis
上傳時間： 2016-11-27
上傳用戶：cjl42111
