Analysis and implementation of backpropagation neural networks on heterogeneous processor arrays
Foo, Shou King.
Date of Issue1997
School of Electrical and Electronic Engineering
This study focuses on the parallel implementations of backpropagation (BP) neural net-works on a heterogeneous array of processors. A theoretical model of the BP algorithm running on the processor network was developed for training set parallelism and using this model the time for a training epoch was predicted. The model made use of two graphical tools, process synchronization graphs and variable synchronization graphs, to aid in obtaining the theoretical expression for the time for a training epoch. The theoretically predicted epoch times from the model were then experimentally validated on well known benchmark problems.
DRNTU::Engineering::Electrical and electronic engineering::Power electronics
NANYANG TECHNOLOGICAL UNIVERSITY