Prediction of a reactivity margin for partial refueling of nuclear reactor using artificial neural networks

Nuclear Reactor ◽

Artificial Neural ◽

Reactivity Margin

Evaluation of the performance of various artificial neural networks to the signal fault diagnosis in nuclear reactor systems

IEEE International Conference on Neural Networks ◽

10.1109/icnn.1993.298816 ◽

2002 ◽

Cited By ~ 1

Author(s):

S. Keyvan ◽

A. Durg ◽

L.C. Rabelo

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Nuclear Reactor ◽

Nuclear Reactor Reactivity Prediction Using Feed Forward Artificial Neural Networks

Lecture Notes in Computer Science - Advances in Neural Networks - ISNN 2008 ◽

10.1007/978-3-540-87732-5_45 ◽

2008 ◽

pp. 400-409

Author(s):

Shan Jiang ◽

Christopher C. Pain ◽

Jonathan N. Carter ◽

Ahmet K. Ziver ◽

Matthew D. Eaton ◽

...

Keyword(s):

Neural Networks ◽

Nuclear Reactor ◽

Feed Forward ◽

Determination of S-N curves with the application of artificial neural networks

Fatigue & Fracture of Engineering Materials & Structures ◽

10.1046/j.1460-2695.1999.00198.x ◽

1999 ◽

Vol 22 (8) ◽

pp. 723-728 ◽

Cited By ~ 1

Author(s):

Artymiak ◽

Bukowski ◽

Feliks ◽

Narberhaus ◽

Zenner

Keyword(s):

Neural Networks ◽

Applications of artificial neural networks to adaptive training systems.

PsycEXTRA Dataset ◽

10.1037/e456072004-001 ◽

1992 ◽

Author(s):

Peter L. Rothman

Keyword(s):

Neural Networks ◽

Adaptive Training ◽

Training Systems ◽

Use of Artificial Neural Networks for Risk Assessment for Work and Organizational Issues

PsycEXTRA Dataset ◽

10.1037/e666722007-001 ◽

2006 ◽

Author(s):

Maria Karanika ◽

Tom Cox

Keyword(s):

Neural Networks ◽

Risk Assessment ◽

Organizational Issues ◽

Artificial neural networks for diagnosis and prognosis in prostate cancer

Seminars in Urologic Oncology ◽

10.1053/suro.2002.32492 ◽

2002 ◽

Vol 20 (2) ◽

pp. 89-95 ◽

Cited By ~ 35

Author(s):

Guido Schwarzer ◽

Martin Schumacher

Keyword(s):

Prostate Cancer ◽

Neural Networks ◽

Diagnosis And Prognosis ◽

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

Scientific Review Series 1 Economics and Law ◽

10.33051/2076-4650-2018-6-6-11 ◽

2018 ◽

pp. 6-11

Author(s):

Kobiljon Kh. Zoidov ◽

◽

Svetlana V. Ponomareva ◽

Daniel I. Serebryansky ◽

◽

...

Keyword(s):

Neural Networks ◽

Space Exploration ◽

Differentiation Between Mass-forming Type Peripheral Cholangiocarcinoma and Hepatic Abscesses: Application of Artificial Neural Networks to CT Images

Journal of the Korean Radiological Society ◽

10.3348/jkrs.2005.53.5.343 ◽

2005 ◽

Vol 53 (5) ◽

pp. 343 ◽

Cited By ~ 1

Author(s):

Nak Jong Seong ◽

Jeong Min Lee ◽

Se Hyung Kim ◽

Joon Koo Han ◽

Young Jun Kim ◽

...

Keyword(s):

Neural Networks ◽

Ct Images ◽

Peripheral Cholangiocarcinoma ◽

Физико-технические проблемы разработки полезных ископаемых ◽

A New Model Based on Artificial Neural Networks and Game Theory for the Selection of Underground Mining Method

10.15372/ftprpi20200108 ◽

2020 ◽

Keyword(s):

Neural Networks ◽

Game Theory ◽

Underground Mining ◽

Mining Method ◽

New Model ◽

Model Based ◽

Artificial Neural ◽

Selection Of

Bankruptcy Prediction Models: A Bet on Artificial Neural Networks

Global Journal For Research Analysis ◽

10.15373/22778160/february2014/16 ◽

2012 ◽

Vol 3 (2) ◽

pp. 48-50

Author(s):

Ana Isabel Velasco Fernández ◽

◽

Ricardo José Rejas Muslera ◽

Juan Padilla Fernández-Vega ◽

María Isabel Cepeda González

Keyword(s):

Neural Networks ◽

Prediction Models ◽

Bankruptcy Prediction ◽