Thermal Power Prediction of Nuclear Power Plant Using Neural Network and Parity Space Model

IEEE Transactions on Nuclear Science

Volumn 38, Issue 2, 1991, Pages 866-872

  Roh, Myung Sub ^a   Cheon, Se Woo ^b   Chang, Soon Heung ^b  

^a Korea Electric Power Research Institute (KEPRI)   (South Korea)

^b Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PROGRAMMING--ALGORITHMS; NUCLEAR POWER PLANTS;

PARITY SPACE SIGNAL VALIDATION; THERMAL POWER PREDICTION;

NEURAL NETWORKS;

EID: 0026135924     PISSN: 00189499     EISSN: 15581578     Source Type: Journal    
DOI: 10.1109/23.289402     Document Type: Article

References (7)

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3. C. H. Meijer and J. P. Pasquenza, “On-line power plant signal validation technique utilizing parity space representation and analytic redundancy,” EPRI NP-2110, Project 1541, Final Rep., Nov. 1981.
4. R. E. Uhrig, “Use of neural networks in nuclear power plant diagnostics,” presented at Proc. Int. Conf. on Availability Improvements in NPP, Madrid, Spain, Apr. 10–16, 1989.
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6. Y. -H. Pao, Adaptive Pattern Recognition and Neural Networks. New York: Addison-Wesley, 1989.
7. S. Ahmad and G. Tesauro, “Scaling and generalization in neural networks,” presented at Neural Information Processing System Proc., Morgan Komfrahn Publishers, San Mateo, CA, 1989.