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Title: Status of HEP (High Energy Physics) neural NET research in the USA

Conference ·
OSTI ID:7043003
 [1];  [2]
  1. Fermi National Accelerator Lab., Batavia, IL (USA)
  2. Florida State Univ., Tallahassee, FL (USA)
+ Show Author Affiliations

Progress on tracking with recurrent neural networks is presented. Applications of feed forward networks to High Energy Physics are discussed. The situation regarding hardware implementations of neural networks is assessed. 10 refs., 3 figs.

Research Organization:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Organization:
DOE/ER
DOE Contract Number:
AC02-76CH03000
OSTI ID:
7043003
Report Number(s):
FNAL/C-90/21; CONF-890415-13; ON: DE90009078; TRN: 90-010336
Resource Relation:
Conference: Computing in high energy physics, Oxford (UK), 10-14 Apr 1989
Country of Publication:
United States
Language:
English

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Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
NEURAL NETWORKS
COMPUTER ARCHITECTURE
HIGH ENERGY PHYSICS
PHYSICS
990200* - Mathematics & Computers
645000 - High Energy Physics