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Proceedings Paper

Neural module for real-time simultaneous discrimination and locking on different temporal series in noisy environment
Author(s): Antonio Luigi Perrone; Gianfranco Basti; Alessandro Chiavoni
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Paper Abstract

After a short discussion on the problems related to the higher order correlations treatment in Hopfield neural net, we propose a modified architecture able to rearrange dynamically its topology in function of the input representation. The relations of this problem with computability problems are briefly considered, particularly in view of avoiding exponential time in computation. Some experimental results are shown for the recognition of particle traces in high energy accelerators and in speaker independent speed recognition.

Paper Details

Date Published: 16 September 1992
PDF: 11 pages
Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); doi: 10.1117/12.139969
Show Author Affiliations
Antonio Luigi Perrone, Univ. of Rome Tor Vergata (Italy)
Gianfranco Basti, Pontifical Gregorian Univ. (Italy)
Alessandro Chiavoni, Univ. of Rome Tor Vergata (Italy)


Published in SPIE Proceedings Vol. 1709:
Applications of Artificial Neural Networks III
Steven K. Rogers, Editor(s)

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