Applications of learning based systems at AREVA group
Conference
·
OSTI ID:22030061
- Euriware, 25 avenue de Tourville, Equerdreville, 50120 (France)
As part of its work on advanced information systems, AREVA is exploring the use of computerized tools based on 'machine learning' techniques. Some of these studies are being carried out by EURIWARE - continuing on from previous work done by AREVA NC - focused on the supervision of complex systems. Systems based on machine learning techniques are one of the possible solutions being investigated by AREVA: knowing that the stakes are high and involve better anticipation and control and high financial considerations. (authors)
- Research Organization:
- American Nuclear Society, 555 North Kensington Avenue, La Grange Park, IL 60526 (United States)
- OSTI ID:
- 22030061
- Resource Relation:
- Conference: NPIC and HMIT 2006: 5. International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology, Albuquerque, NM (United States), 12-16 Nov 2006; Other Information: Country of input: France; Related Information: In: Proceedings of the 5. International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology| 1430 p.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Final Technical Report - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
Efficient Machine Learning Approach for Optimizing Scientific Computing Applications on Emerging HPC Architectures
When not to use machine learning: A perspective on potential and limitations
Technical Report
·
Sat Feb 10 00:00:00 EST 2024
·
OSTI ID:22030061
+13 more
Efficient Machine Learning Approach for Optimizing Scientific Computing Applications on Emerging HPC Architectures
Thesis/Dissertation
·
Mon May 01 00:00:00 EDT 2017
·
OSTI ID:22030061
When not to use machine learning: A perspective on potential and limitations
Journal Article
·
Fri Oct 21 00:00:00 EDT 2022
· MRS Bulletin
·
OSTI ID:22030061