NEURAL-NETWORK ARCHITECTURES FOR SELECTING THE MAXIMUM INPUT

Authors
KOUTROUMBAS K KALOUPTSIDIS N
Citation
K. Koutroumbas et N. Kalouptsidis, NEURAL-NETWORK ARCHITECTURES FOR SELECTING THE MAXIMUM INPUT, International journal of computer mathematics, 67(1-2), 1998, pp. 25-32
Citations number
14
Categorie Soggetti
Mathematics,Mathematics
Journal title
International journal of computer mathematics
ISSN journal
00207160 → ACNP
Volume
67
Issue
1-2
Year of publication
1998
Pages
25 - 32
Database
ISI
SICI code
Abstract
In this paper two neural network architectures for selecting the maxim um among a set of numbers are introduced. The first architecture is re current and relies on the Hamming MaxNet. The second architecture is f eedforward, featuring modularity and pipelineability.