Exploring neural network technology

Journal Article · Tue Dec 01 00:00:00 EST 1992 · EPRI Journal (Electric Power Research Institute); (United States)

OSTI ID:6974181

Naser, J; Maulbetsch, J

EPRI is funding several projects to explore neural network technology, a form of artificial intelligence that some believe may mimic the way the human brain processes information. This research seeks to provide a better understanding of fundamental neural network characteristics and to identify promising utility industry applications. Results to date indicate that the unique attributes of neural networks could lead to improved monitoring, diagnostic, and control capabilities for a variety of complex utility operations. 2 figs.

• OSTI ID: 6974181
• Journal Information: EPRI Journal (Electric Power Research Institute); (United States), Vol. 17:8; ISSN 0362-3416
• Country of Publication: United States
• Language: English

Related Subjects

20 FOSSIL-FUELED POWER PLANTS
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
ELECTRIC UTILITIES
COMPUTERIZED CONTROL SYSTEMS
NEURAL NETWORKS
TECHNOLOGY ASSESSMENT
ARTIFICIAL INTELLIGENCE
COMPUTER ARCHITECTURE
OPERATION
PATTERN RECOGNITION
CONTROL SYSTEMS
ON-LINE CONTROL SYSTEMS
ON-LINE SYSTEMS
PUBLIC UTILITIES
200104* - Fossil-Fueled Power Plants- Components
990200 - Mathematics & Computers