Title :
Aphasic compressed representations: a functorial semantic design principle for coupled ART networks
Author :
Healy, Michael J. ; Caudell, Thomas P.
Author_Institution :
New Mexico Univ., Albuquerque, NM, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
Supervised ART networks consist of interconnected subnetworks, a, b, and possibly also a map field. The a and b subnetworks have separate input representations for inputs and associated outputs. A categorical semantic analysis suggests that each input field must have a compressed representation in the other subnetwork(s)
Keywords :
ART neural nets; aphasic compressed representations; coupled ART networks; functorial semantic design principle; interconnected subnetworks; map field; supervised ART networks; Encoding; Knowledge representation; Logic; Mathematical model; Neural networks; Probes; Sampling methods; Subspace constraints;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1007566
