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网络 Isisns is an extension of Network Simulator (ns) for the IS-IS routing protocol. It is focused on si
Isisns is an extension of Network Simulator (ns) for the IS-IS routing protocol. It is focused on simulation of network dynamics and convergence.
网络 DSR-UU is a DSR implementation that runs in Linux and in the ns-2 network simulator. DSR-UU imple
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 ...
人工智能/神经网络 This code in this directory implements the binary hopfield network.Source code may be found in HOPNE
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.
软件设计/软件工程 network analyse with matlab:本课件讲解了用matlab来分析网络性能的方法和一些简单的程序
network analyse with matlab:本课件讲解了用matlab来分析网络性能的方法和一些简单的程序
网络 fast event library,can used in network file or serial io
fast event library,can used in network file or serial io
matlab例程 This complete matlab for neural network
This complete matlab for neural network
VC书籍 C++经典书籍之二C++ Network Programming
C++经典书籍之二C++ Network Programming
Linux/Unix编程 Unix Network Programming TheSocketsNetworking API VOLUME 1 (THIRD EDITION) .chm格式英文版电子书及随书示例源代码。
Unix Network Programming TheSocketsNetworking API VOLUME 1 (THIRD EDITION)
.chm格式英文版电子书及随书示例源代码。
matlab例程 classic SOM program for using with Matlab Neural network toolbox useful for data classification etc
classic SOM program for using with Matlab Neural network toolbox
useful for data classification etc.
书籍源码 BP neural network for time series analysis predicted that by entering the corresponding time-series
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