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Neural Processing Letters

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01-12-2016

A New Geometry with Cross-Coupling of ART Networks

Author: B. Lungsi Sharma

Published in: Neural Processing Letters | Issue 3/2016

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Abstract

This paper demonstrates a new geometrical arrangement of adaptive resonance theory based network. Using method of minimal anatomies a neural network was constructed in an attempt to compare patterns. The anatomy incorporates two sub-networks coupled by feedback signals and an additional motor layer whose outputs reflect relationship or non-relationship among the compared patterns. Simulation results illustrates the network behaviors as emergent properties. The network with unsupervised learning is capable of generating self-defining features.

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Title: A New Geometry with Cross-Coupling of ART Networks
Author: B. Lungsi Sharma
Publication date: 01-12-2016
Publisher: Springer US
Published in: Neural Processing Letters / Issue 3/2016
Print ISSN: 1370-4621
Electronic ISSN: 1573-773X
DOI: https://doi.org/10.1007/s11063-015-9481-y

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