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DSR-UU is an implementation of the Dynamic Source Routing protocol that runs in the Linux kernel or in the ns-2 network simulator. It was originally created at Uppsala University, hence the UU.
QUENAS (QUeued Event Network Automatic Simulator) is a Network Simulator that enables to create a network of nodes and simulate communications between then. Currently, the Hypercube protocol is implemented at network layer.
The NS-Mapper ad-hoc scenario editor is improved and extended by adding more realistic strategies, such as random based node placement, movement and traffic to the ad-hoc simulation of the Network Simulator 2 (NS-2).
This is an implementation of the Granular Neural Network architecture defined by S. Dick, A. Tappenden, C. Badke, O. Olarewaju. It is provided for the use of the public, and the convenience of researchers who may wish to develop or use this new system.
iSNS is an interactive neural network simulator written in Java/Java3D. The program is intended to be used in lessons of Neural Networks. The program was developed by students as the software project at Charles University in Prague.
NS-2 Trace Statistics is a tool for easy generation of summary statistics from Network Simulator trace files, such as: total and network delay, packets generated, sent, received and dropped, run length histograms and MRU stack depth.
An implementation of the GSD service discovery protocol for the network simulator ns2 (http://www.isi.edu/nsnam/ns/). The protocol core is written in c++ whereas simulation settings and scenarios can be set up via OTCL scripts -- as usual in ns2.
rsim is a simple discrete-event communications network simulator initially developed to test routing protocols for undersea acoustic modem networks. If done well then rsim will eventually be a good replacement for "ns2".
The goal of this project is to be an improvement of the original Network Animator (NAM) module provided as part of the Network Simulator 2 (NS2). This tool provides topology visualization, TCL script generation, and enhanced simulation animation.
The aim of this project is to have a current implementation of the experimental VFER protocol (http://vfer.sf.net) within the ns-2 network simulator. The design of VFER can then be tweaked using results from this simulation.
SNNSraster is a utility for quick ANN analysis of raster GIS maps with the use of Stuttgart Neural Network Simulator trained network files. It was developed to read and write binary raster files.
SNNSraster is a project of the Geography Laboratory of the University of Siena. The code was developed by Giancarlo Macchi Jánica between 2006 and 2007. SNNSraster's fundamental objective is to improve the ability to integrate the use of artificial neural networks in GIS environments.
A modern and usable interface for the well known neuronal network simulator SNNS. The GUI acts as a client to serveral servers embedding SNNS and supports team work aspects.
WIPsim (Wireless IP Simulator) is a network simulator for all layers of the OSI model. The current version is focussed on dealing with IPv6. The simulator was started to investigate wireless (data) networks and mobility.
GNNS - GNNS Neural Network Simulator, is both a set of libraries and an interface for creating and learning neural networks. It is aimed to support as many network typs and learning algorithms as possible. GNNS is meant to support different platforms.
Netsim is a mobile ad hoc network simulator targeted at large heterogeneous node configurations. It is written in Java and is easily extensible through its modular concept.
RooCARDS is a set of C++ classes written for the ROOT analysis framework
which interface ROOT to the Stuttgart Neural Network Simulator (SNNS). This
interface is based on a concept originally developed by Professor Yibin Pan
at the UW-Madison.
A cycle-accurate interconnection network simulator.
A cycle-accurate interconnection network simulator. Brought to you by the Concurrent VLSI Architecture group at Stanford University. The SourceForge website is no longer actively maintained. Instead, please follow the link in the profile.
LiNNS is not just a Neural Network Simulator, but a Neural Network System - a framework which covers the full lifecycle of a neural network, from design and research till usage in an external application.