DocumentCode
1841477
Title
Recurrent auto-associative networks and sequential processing
Author
Stoianov, Ivelin
Author_Institution
Dept. Alfa-Inf., Groningen Univ., Netherlands
Volume
3
fYear
1999
fDate
1999
Firstpage
1475
Abstract
A novel connectionist architecture that develops static representations of structured sequences is presented. The model is based on simple recurrent networks trained on an auto-association task in a way that guarantees the development of unique static representations. The model can be applied in modeling natural language, cognition, etc
Keywords
learning (artificial intelligence); neural net architecture; recurrent neural nets; auto-associative networks; connectionist architecture; learning; natural language; recurrent neural networks; sequential processing; static representations; Associative memory; Buildings; Cognition; Grounding; Hierarchical systems; Motion pictures; Natural language processing; Natural languages; Radio access networks; Recurrent neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.832586
Filename
832586
Link To Document