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Bortolotto et al., 1992 - Google Patents

Neural networks in experimental high-energy physics

Bortolotto et al., 1992

Document ID
4588727335572403096
Author
Bortolotto C
ANGELIS A
GROOT N
Seixas J
Publication year
Publication venue
International Journal of Modern Physics C

External Links

Snippet

During the last years, the possibility to use Artificial Neural Networks in experimental High Energy Physics has been widely studied. In particular, applications to pattern recognition and pattern classification problems have been investigated. The purpose of this article is to …
Continue reading at www.worldscientific.com (other versions)

Classifications

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    • G06N3/08—Learning methods
    • G06N3/082—Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
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