Title :
A survey of learning results for ART1 networks
Author :
Heileman, Gregory L. ; Georgiopoulos, Michael ; Hwang, Juxin
Author_Institution :
Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
fDate :
27 Jun-2 Jul 1994
Abstract :
A collection of results related to learning in ART1 networks is presented. These results are concerned primarily with the complexity of the learning process, rather than with the quality of the learned concepts. These results provide numerous insights into the operation of ART1 networks, and detail the conditions under which such networks can learn efficiently
Keywords :
ART neural nets; learning (artificial intelligence); ART1 networks; complexity; learning process; neural network; Pattern clustering; Resonance; Subspace constraints; Terminology;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374359
