DocumentCode
288496
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
Volume
2
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
1222
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICNN.1994.374359
Filename
374359
Link To Document