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Technical Paper

Power Prediction in Nuclear Power Plants Using a Back-Propagation Learning Neural Network

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Pages 270-278 | Published online: 12 May 2017

References

  • R. E. UHRIG, “Use of Neural Networks in Nuclear Power Plant Diagnostics,” Proc. Int. Conf. Availability Improvements in Nuclear Power Plants, Madrid, Spain, April 10–14, 1989, University of Tennessee.
  • B. R. UPADHYAYA, E. ERYUREK, and G. MATHAI, “Application of Neural Computing Paradigms for Signal Validation,” Proc. 7th Power Plant Dynamics, Control and Testing Symp., Knoxville, Tennessee, May 15–17, 1989, Institute of Electrical and Electronics Engineers.
  • M. DESAI and A. RAY, “A Fault Detection and Isolation Methodology,” Proc. 20th IEEE Conf. Decision and Control, San Diego, California, December 16–18, 1981, Institute of Electrical and Electronics Engineers.
  • D. E. RUMELHART and J. L. McCLELLAND, Parallel Distributed Processing, Vol. 1, The MIT Press, Cambridge, Massachusetts (1987).
  • YOH-HAN PAO, Adaptive Pattern Recognition and Neural Networks, Addison-Wesley Company, Reading, Massachusetts (1989).
  • S. AHMAD and G. TESAURO, “Scaling and Generalization in Neural Networks,” Neural Information Processing Systems 1, p. 160, Morgan Kaufmann Publishers, San Mateo, California (1989).

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