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Use of neural networks for in-core fuel management

Conference · · Transactions of the American Nuclear Society; (USA)
OSTI ID:5200261
;

Artificial neural networks (ANNs) are an adaptive nonalgorithmic approach to information processing that provides an almost instantaneous capability for finding solutions to very complex problems. Although work in this area was deemphasized more than a decade ago following several critical reviews, there has been a resurgence of ANN-related research with recent developments in the underlying methodology and in the applicable technology. The Defense Advanced Research Projects Agency (DARPA), as well as other organizations, is sponsoring an extensive research and development effort in this area. Opportunities for applications of ANNs span essentially all areas of commerce, and the area of nuclear science and technology is well suited for the use of neural networks. The University of Tennessee, Department of Nuclear Engineering, is conducting ANN-related research in signal validation, spectral characterization, plant modeling, plant diagnostics, load projection, and in-core fuel management. This paper presents a brief overview of various neural networks, and it includes results associated with their application to in-core fuel management.

OSTI ID:
5200261
Report Number(s):
CONF-890604--
Journal Information:
Transactions of the American Nuclear Society; (USA), Journal Name: Transactions of the American Nuclear Society; (USA) Vol. 59; ISSN TANSA; ISSN 0003-018X
Country of Publication:
United States
Language:
English

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Related Subjects

21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS
210802* -- Nuclear Power Plants-- Economics-- Fuel Cycle
22 GENERAL STUDIES OF NUCLEAR REACTORS
220100 -- Nuclear Reactor Technology-- Theory & Calculation
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
ACTINIDES
ARTIFICIAL INTELLIGENCE
BURNABLE POISONS
BURNUP
DATA PROCESSING
DESIGN
EDUCATIONAL FACILITIES
ELEMENTS
ENRICHED URANIUM
ERRORS
FUEL MANAGEMENT
ISOTOPE ENRICHED MATERIALS
KINETICS
MATERIALS
MATHEMATICAL MODELS
METALS
NEUTRON ABSORBERS
NUCLEAR FACILITIES
NUCLEAR POISONS
NUCLEAR POWER PLANTS
OPTIMIZATION
PHYSICS
POWER DISTRIBUTION
POWER PLANTS
PROCESSING
REACTOR COMPONENTS
REACTOR CORES
REACTOR KINETICS
REACTOR MATERIALS
REACTOR PHYSICS
REAL TIME SYSTEMS
RESEARCH PROGRAMS
THERMAL POWER PLANTS
TRAINING
URANIUM
USES