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Proceedings Paper

Design Of A High Order Neural Network Motion Sensor
Author(s): Luis R. Lopez
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Paper Abstract

Designs that combine simple high order neural circuits, Feed Back Shunting (FBS)1 and Feed Forward Shunting (FFS)2 are presented. A cascaded FFS-FBS design approach results in two new networks. These networks are capable of extracting edge features from moving images in noisy environments. The use of FFS to detect motion gives these networks robustness in the presence of noise. FBS gives them the ability to extract edge features.

Paper Details

Date Published: 17 May 1989
PDF: 8 pages
Proc. SPIE 1058, High Speed Computing II, (17 May 1989); doi: 10.1117/12.951680
Show Author Affiliations
Luis R. Lopez, Teledyne Brown Engineering (United States)

Published in SPIE Proceedings Vol. 1058:
High Speed Computing II
Keith Bromley, Editor(s)

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