Upgrading automation for nuclear fuel in-core management: From the symbolic generation of configurations, to the neural adaptation of heuristics-Reference-Cited by-同舟云学术

Upgrading automation for nuclear fuel in-core management: From the symbolic generation of configurations, to the neural adaptation of heuristics

Published:1997-03 Issue:1 Volume:13 Page:1-19
ISSN:0177-0667
Container-title:Engineering with Computers
language:en
Short-container-title:Engineering with Computers

Author:

Nissan Ephraim,Siegelmann Hava,Galperin Alex,Kimhi Shuky

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,General Engineering,Modelling and Simulation,Software

Link

http://link.springer.com/content/pdf/10.1007/BF01201857.pdf

Reference38 articles.

1. Galperin, A.; Kimhi, Y.; Nissan, E. (1993). FUELCON: an expert system for assisting the practice and research of in-core fuel management and optimal design in nuclear engineering, Computers and Artificial Intelligence, 12, 369?415

2. Kimhi, Y. (1992) A non-algorithmic approach to the in-core fuel management problem of a PWR core, PhD dissertation, Department of Nuclear Engineering, Ben-Gurion University of the Negev (Beer-Sheva, Israel) (in Hebrew; English abstract)

3. Galperin, A.; Kimhi, Y. (1991) Application of knowledge-based methods to in-core fuel management. Nuclear Science and Engineering, 109, 103?110

4. Galperin, A.; Yimhi, Y.; Segev, M. (1989) A knowledge-based system for optimization of fuel reload configurations, Nuclear Science and Engineering, 102, 43

5. Galperin, A.; Nissan, E. (1988) Application of a heuristic search method for generation of fuel reload configurations, Nuclear Science and Engineering, 99 (4), 343?352

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