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Application of artificial neural networks in particle physics

Kolanoski, H.

Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment. VOL 367; NUMBER 1/3, ; 1995, 14-20 -- ELSEVIER Part: Part 1/3; (pages 14-20) -- 1995

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  • Title:
    Application of artificial neural networks in particle physics
  • Author: Kolanoski, H.
  • Found In: Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment. VOL 367; NUMBER 1/3, ; 1995, 14-20
  • Journal Title: Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment.
  • Subjects: Physics; LCC: QC785.5; Dewey: 539.7
  • Publication Details: ELSEVIER
  • Language: English
  • Abstract: The application of artificial neural networks in particle physics is reviewed. The use of feed-forward nets is most common for event classification and function approximation. This network type is best suited for a hardware implementation and special VLSI chips are available which are used in fast trigger processors. Also discussed are fully connected networks of the Hopfield type for pattern recognition in tracking detectors.
  • Identifier: Journal ISSN: 0168-9002
  • Publication Date: 1995
  • Physical Description: Physical
  • Accrual Information: Weekly
  • Shelfmark(s): 6180.861300
  • UIN: ETOCRN001391070

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