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Varde, P.V.;Hur, Seop;Lee, D.Y.;Moon, B.S.;Han, J.B.
- International Journal of Fuzzy Logic and Intelligent Systems
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- v.3 no.1
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- pp.112-120
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- 2003
This paper reports the development work carried out in respect of a proposed application of Neural Network approach for the Korean Next generation Reactor (KNGR) now referred as APR-1400. The emphasis is on establishing the methodology and the approach to be adopted towards realizing this application in the next generation reactors. Keeping in view the advantages and limitation of Artificial Neural Network Approach, the role of ANN has been limited to plant status or to be more precise plant transient monitoring. The simulation work carried out so far and the results obtained shows that artificial neural network approach caters to the requirements of plant status monitoring and qualifies to be incorporated as a part of proposed operator support systems of the referenced nuclear power plant.
https://doi.org/10.5391/IJFIS.2003.3.1.112 인용 PDF KSCI

Fengying, Zhai;Yuna, He;Keyou, Ge
- Journal of Community Nutrition
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- v.3 no.1
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- pp.3-7
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- 2001
The paper presented the effect of Surveillance and Improvement of Children's Nutritional Status in China The survery was conducted in 101 relatively poor counties in 27 provinces in 199-, 1993 and 1995 respectively. Physical measurement and blood biochemisty was take for 86, 397 children aged under five years. The intervention activities were carried out for 5 year in those 101 counties, e. g. nutrition education promotion of food production family poultry and livestock raising soybean production and utilization home gardening, nutrition food development for children Having the above mentioned measures the prevalence of stunting dropped by 21% wasting decreased by 25% and anemia lowered by 49% during 5 years It is suggested that it should be carried out continuously and promotion efforts should be intensified so as to reach the goal of improving children's nutritional status.
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