DocumentCode
1818533
Title
A product-of-norms model for recurrent neural networks
Author
Hou, Jiansheng ; Salam, Fathi M A
Author_Institution
Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA
Volume
1
fYear
1992
fDate
7-11 Jun 1992
Firstpage
493
Abstract
The authors present a model for recurrent artificial neural networks which can store any number of any prespecified patterns as energy local minima. Therefore, all the prespecified patterns can be stored and retrieved. The authors summarize the model´s stability properties. They then give two examples, showing how this model can be used in image recognition and association
Keywords
image recognition; recurrent neural nets; association; energy local minima; image recognition; product-of-norms model; recurrent neural networks; Adaptive control; Artificial neural networks; Circuits; Computer networks; Control systems; Image recognition; Laboratories; Neurons; Recurrent neural networks; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location
Baltimore, MD
Print_ISBN
0-7803-0559-0
Type
conf
DOI
10.1109/IJCNN.1992.287164
Filename
287164
Link To Document