论文信息 - Reliable prediction of complex thermal hydraulic parameters by ANN

Reliable prediction of complex thermal hydraulic parameters by ANN

Abstract Thermal hydraulic data-base is very useful in the design and analysis of the proposed Advanced Heavy Water Reactor which relies on natural circulation for normal core cooling. Compilation of the thermal hydraulic data-base is in progress. Artificial Neural Networks (ANNs), have been applied to analyse the consistency and accuracy of the data-base. The ANN predictions are more accurate and cover wider range of parameters compared to model based predictions.

Pallippattu Krishnan Vijayan | D. S. Pilkhwal | B. P. Dubey

[1] Maureen Caudill,et al. Understanding Neural Networks; Computer Explorations , 1992 .

[2] Soon Heung Chang,et al. Classification and prediction of the critical heat flux using fuzzy theory and artificial neural networks , 1994 .

[3] Martin A. Riedmiller,et al. Advanced supervised learning in multi-layer perceptrons — From backpropagation to adaptive learning algorithms , 1994 .

[4] Jules Thibault,et al. A neural network methodology for heat transfer data analysis , 1991 .

[5] D. Groeneveld,et al. 1986 AECL-UO Critical Heat Flux Lookup Table , 1986 .

[6] Soon Heung Chang,et al. Parametric trends analysis of the critical heat flux based on artificial neural networks , 1996 .