Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/38978
Title: Analysis and implementation of backpropagation neural networks on heterogeneous processor arrays
Authors: Foo, Shou King.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Power electronics
Issue Date: 1997
Abstract: 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.
URI: http://hdl.handle.net/10356/38978
Rights: NANYANG TECHNOLOGICAL UNIVERSITY
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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