Title
Properties Of Learning Related To Pattern Diversity In Art1
Abbreviated Journal Title
Neural Netw.
Abstract
In this paper we consider a special class of the ART1 neural network. It is shown that if this network is repeatedly presented with an arbitrary list of binary input patterns, learning self-stabilizes in at most m list presentations, where m corresponds to the number of patterns of distinct size in the input list. Other useful properties of the ART1 network, associated with the learning of an arbitrary list of binary input patterns, are also examined. These properties reveal some of the "good" characteristics of the ART1 network when it is used as a tool for the learning of recognition categories.
Journal Title
Neural Networks
Volume
4
Issue/Number
6
Publication Date
1-1-1991
Document Type
Article
Language
English
First Page
751
Last Page
757
WOS Identifier
ISSN
0893-6080
Recommended Citation
"Properties Of Learning Related To Pattern Diversity In Art1" (1991). Faculty Bibliography 1990s. 234.
https://stars.library.ucf.edu/facultybib1990/234
Comments
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