DocumentCode :
1231969
Title :
A neural network model for invariant pattern recognition
Author :
Srinivasa, Narayan ; Jouaneh, Musa
Author_Institution :
Dept. of Mech. Eng., Rhode Island Univ., Kingston, RI, USA
Volume :
40
Issue :
6
fYear :
1992
fDate :
6/1/1992 12:00:00 AM
Firstpage :
1595
Lastpage :
1599
Abstract :
A neural network is proposed to achieve invariant pattern recognition to binary inputs based on a computation of the invariance net and the ART1 neural network. Computer simulations show that the new network is plastic to unfamiliar inputs and requires no explicit training of the inputs
Keywords :
computerised pattern recognition; invariance; neural nets; ART1 neural network; binary inputs; computer simulations; invariance net; invariant pattern recognition; neural network model; Computer simulation; Hidden Markov models; Neural networks; Notice of Violation; Pattern recognition; Signal processing; Speech processing; Speech recognition; Springs; Vocabulary;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.139270
Filename :
139270
Link To Document :
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