Title :
Modeling using ART2 classifier
Author_Institution :
Dept. of Math. & Comput. Sci., Preparatory Inst. for Eng. Studies of Sfax, Sfax, Tunisia
Abstract :
In this paper ART2 classifier is used to extract clusters of databases taken from complex processes with different behaviors. The used classifier is an unsupervised one and the obtained clusters characterize local models of a considered system. These local models represent linear behaviors of the process. This result is the consequence of the characteristic of the F1 layer of the ART2 neural network which is divided in sublayers.
Keywords :
database management systems; neural nets; pattern classification; pattern clustering; unsupervised learning; ART2 classifier; ART2 neural network; F1 layer; complex processes; database cluster extraction; linear behaviors; sublayers; unsupervised classifier; Computers; Databases; Equations; Mathematical model; Neural networks; Support vector machine classification; Vectors; ART2 classifier, clusters, local models, linear be; greenhouse; haviors;
Conference_Titel :
Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2013 14th International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4799-2953-5
DOI :
10.1109/STA.2013.6783185
