On the use of neural networks in high-energy physics experiments-Reference-Cited by-同舟云学术

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On the use of neural networks in high-energy physics experiments

Published:1990-01 Issue:3 Volume:56 Page:299-311
ISSN:0010-4655
Container-title:Computer Physics Communications
language:en
Short-container-title:Computer Physics Communications

Author:

Humpert B.

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Hardware and Architecture

Reference48 articles.

1. Parallel Distributed Processing, I + II;Rumelhart,1986

2. A Comparative Study of Neural Network Architectures;Humpert,1989

3. Explorations in Parallel Distributed Processing;McClelland,1988

4. Neural networks and cellular automata in experimental high energy physics

5. Neural Networks and Cellular Automata Algorithms,1988

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2. Modeling of charged-particle multiplicity and transverse-momentum distributions in pp collisions using a DNN;Scientific Reports;2022-05-19

3. Physics and technology of time projection chambers as active targets;The European Physical Journal A;2018-10

4. Neural networks that learn to predict probabilities: Global models of nuclear stability and decay;Neural Networks;1995-01

5. Neural network models of nuclear systematics;Physics Letters B;1993-02

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