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Recognition of decays of charged tracks with neural network techniques

โœ Scribed by Georg Stimpfl-Abele

Publisher
Elsevier Science
Year
1991
Tongue
English
Weight
798 KB
Volume
67
Category
Article
ISSN
0010-4655

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โœฆ Synopsis

We developped neural-network learning techniques for the recognition of decays of charged tracks using a feed-forward network with error back-propagation. Two completely different methods are described in detail and their efficiencies for several NN architectures are compared with conventional methods. Excellent results are obtained.

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