DTNSim2 is a simulator for Delay-Tolerant NETWORKS (DTNs) written in Java. It is based on Sushant Jain s DTNSim, which was used for the Routing in a delay tolerant network paper. It has been exensively modified.
BPMLL is a package for training multi-label BP neural NETWORKS. The package includes the MATLAB code of the algorithm BP-MLL, which is designed to deal with multi-label learning. It is in particular useful when a real-world object is associated with multiple labels simultaneously
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.
