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CobART: Correlation Based Adaptive Resonance Theory
Date
2009-06-26
Author
YAVAŞ, mustafa
Alpaslan, Ferda Nur
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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This paper introduces a new type of ART 2 network that performs satisfactory categorization for a domain where the patterns are constructed from consecutive analog inputs. The main contribution relies on the correlation analysis methods used for category-matching. The resulting network model is named as Correlation Based Adaptive Resonance Theory (CobART). Correlation waveform analysis and Euclidian distance methods are used to elicit correlation between the learned categories and the data fed to the network.
Subject Keywords
Pattern classification
,
Correlation analysis
,
Adaptive resonance theory
URI
https://hdl.handle.net/11511/33295
DOI
https://doi.org/10.1109/med.2009.5164632
Collections
Department of Computer Engineering, Conference / Seminar