Random neural network recognition of shaped objects in strong clutter

Hakan Bakircioğlu, Eroł Gelenbe, Larry Carin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In this paper we propose a neural approach based on the Random Neural Network (RNN) model (Gelenbe 1989, 1990, 1991, 1993 [3, 4, 6, 5]), to detect shaped targets with the help of multiple neural networks whose outputs are combined for making decisions.
Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages961-966
Number of pages6
ISBN (Print)3540636315
DOIs
StatePublished - Jan 1 1997
Externally publishedYes

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