Artificial intelligence in nuclear engineering: developments, lesson learned and and future directions

Research output: Contribution to report/book/conference proceedings › In-proceedings paper › peer-review

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Artificial intelligence in nuclear engineering: developments, lesson learned and and future directions. / Ruan, Da; Messaoudi, Nadia (Peer reviewer).

International Nuclear Atlantic Conference. Santos, Sao Paolo, Brazil, 2005. p. 6.

Research output: Contribution to report/book/conference proceedings › In-proceedings paper › peer-review

Harvard

Ruan, D & Messaoudi, N 2005, Artificial intelligence in nuclear engineering: developments, lesson learned and and future directions. in International Nuclear Atlantic Conference. Santos, Sao Paolo, Brazil, pp. 6, INAC 2005 - International Bucelar Atlantic Conference, Santos, Sao Paolo, Brazil, 2005-08-28.

APA

Ruan, D., & Messaoudi, N. (2005). Artificial intelligence in nuclear engineering: developments, lesson learned and and future directions. In International Nuclear Atlantic Conference (pp. 6).

Vancouver

Ruan D, Messaoudi N. Artificial intelligence in nuclear engineering: developments, lesson learned and and future directions. In International Nuclear Atlantic Conference. Santos, Sao Paolo, Brazil. 2005. p. 6

Author

Ruan, Da ; Messaoudi, Nadia. / Artificial intelligence in nuclear engineering: developments, lesson learned and and future directions. International Nuclear Atlantic Conference. Santos, Sao Paolo, Brazil, 2005. pp. 6

Bibtex - Download

@inproceedings{7b6c2aa9bd7f4681a5e2fd7146208628,
title = "Artificial intelligence in nuclear engineering: developments, lesson learned and and future directions",
abstract = "In this lecture, an overview on artificial intelligence (AI) from control to decision making in nuclear engineering will be given mainly based on the 10 years progress of the FLINS forum (Fuzzy Logic and Intelligent Technology in Nuclear Science). Some FLINS concrete examples on nuclear reactor operation, nuclear safeguards information management, and cost estimation under uncertainty for a large nuclear project will be illustrated for the potential use of AI in nuclear engineering. Recommendations and future research directions on AI in nuclear engineering will be suggested from a practical point of view.",
keywords = "AI, Nuclear reactor operation, Decision support systems",
author = "Da Ruan and Nadia Messaoudi",
note = "Score = 3; INAC 2005 - International Bucelar Atlantic Conference ; Conference date: 28-08-2005 Through 02-09-2005",
year = "2005",
month = aug,
language = "English",
isbn = "978-85-99141-01-4",
pages = "6",
booktitle = "International Nuclear Atlantic Conference",

}

RIS - Download

TY - GEN

T1 - Artificial intelligence in nuclear engineering: developments, lesson learned and and future directions

AU - Ruan, Da

A2 - Messaoudi, Nadia

N1 - Score = 3

PY - 2005/8

Y1 - 2005/8

N2 - In this lecture, an overview on artificial intelligence (AI) from control to decision making in nuclear engineering will be given mainly based on the 10 years progress of the FLINS forum (Fuzzy Logic and Intelligent Technology in Nuclear Science). Some FLINS concrete examples on nuclear reactor operation, nuclear safeguards information management, and cost estimation under uncertainty for a large nuclear project will be illustrated for the potential use of AI in nuclear engineering. Recommendations and future research directions on AI in nuclear engineering will be suggested from a practical point of view.

AB - In this lecture, an overview on artificial intelligence (AI) from control to decision making in nuclear engineering will be given mainly based on the 10 years progress of the FLINS forum (Fuzzy Logic and Intelligent Technology in Nuclear Science). Some FLINS concrete examples on nuclear reactor operation, nuclear safeguards information management, and cost estimation under uncertainty for a large nuclear project will be illustrated for the potential use of AI in nuclear engineering. Recommendations and future research directions on AI in nuclear engineering will be suggested from a practical point of view.

KW - AI

KW - Nuclear reactor operation

KW - Decision support systems

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_26962

UR - http://knowledgecentre.sckcen.be/so2/bibref/2665

M3 - In-proceedings paper

SN - 978-85-99141-01-4

SP - 6

BT - International Nuclear Atlantic Conference

CY - Santos, Sao Paolo, Brazil

T2 - INAC 2005 - International Bucelar Atlantic Conference

Y2 - 28 August 2005 through 2 September 2005

ER -

ID: 273547