|[Home] [QCL] [NeuroGen] [WaveTools] [Programs] [Papers]|
NeuroGen implements a hybrid parallel algorithm using genetic search and
standard backpropagation to train neural networks on a transputer
The package includes several test programs with can either be compiled
to run on a transputer network or sequentially as a single threaded C
The final report about my project on the use of genetic algorithms for
the training of neuronal networks on distributed memory systems at
the Department of Computing Science
at the University of Newcastle.
This paper contains a detailed description of all algorithms and test programs as well as documentation on the source code.