Title :
The analysis of the augmented ART1 neural network
Author :
Georgiopoulos, Michael ; Heileman, Gregory L.
Author_Institution :
Dept. of Electr. Eng., Univ. of Central Florida, Orlando, FL, USA
Abstract :
The dynamics of the augmented ART1 neural network (AART1-NN) introduced by L. Heileman and M. Georgiopoulos (1991) are described by a set of nonlinear differential equations that facilitate the real-time implementation of the ART1 neural network. The AART1-NN equations are summarized. It is shown that under certain parameter constraints the AART1 model behaves in the same manner as the ART1 model. Since the AART1 model is an extension of the ART1 model, this analysis proves the inherent capability of the ART1-NN to operate in a totally unsupervised manner
Keywords :
learning systems; neural nets; nonlinear differential equations; AART1-NN; adaptive resonance theory; augmented ART1 neural network; dynamics; nonlinear differential equations; real-time implementation; Differential equations; Joining processes; Neural networks; Virtual manufacturing; Zinc;
Conference_Titel :
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN :
0-7803-0227-3
DOI :
10.1109/IJCNN.1991.170314
