A NEURAL NETWORK MODEL FOR INVARIANT PATTERN-RECOGNITION

被引：11
|
作者：
SRINIVASA, N
JOUANEH, M
机构：
[1] department of Mechanical Engineering, University of Rhode Island, Kingston
来源：
IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1992年 / 40卷 / 06期
关键词：
D O I：
10.1109/78.139270
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A neural network model is proposed to achieve invariant pattern recognition to binary inputs based on a combination 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.
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页码：1595 / 1598
页数：4
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