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Southern Illinois University
The Proteretic Hopfield Neural Network Analog to Digital Converter
Abstract
dc:description.abstractThe Hopfield neuron with predictive hysteresis is proposed and the efficiency of employing these neurons in analog to digital conversion, via the Hopfield Neural Network, will be demonstrated. Traditional hysteresis is defined, generally, as the occurrence of a delayed effect when forces acting on an object are varied. It will be shown that predictive hysteresis, a type of reverse hysteresis, improves upon the speed of hysteretic and non hysteretic systems without compromising the accuracy.
Degree
thesis:*- Name thesis:degree_name
- Doctor of Philosophy
- Level thesis:degree_level
- Campus Only Dissertation
- Discipline thesis:degree_discipline
- Electrical and Computer Engineering
- Year
- 2008
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Calmese, Ife
- Contributors dc:contributor
-
- Sayeh, Mohammed
Identifiers
dc:identifier.*- Repository record dc:identifier
- https://opensiuc.lib.siu.edu/dissertations/255
- OAI identifier oai:identifier
- oai:opensiuc.lib.siu.edu:dissertations-1255