NEURAL NETWORK APPLICATION IN ONLINE HEAT FLUX ESTIMATION
Publish place: 15th Annual Conference of Mechanical Engineering
Publish Year: 1386
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ISME15_085
تاریخ نمایه سازی: 8 فروردین 1386
Abstract:
Inverse problems are problems of determining cause on the basis of the effects. In this article the artificial neural networks (ANN) is utilized in order to estimate an unknown heat flux in a 1D slab. In developing the training phase of the network inspiration is drawn from the sequential function specification (SFS) method. Obtained results from the ANN method are shown to be more efficient when compared with the results of the SFS method.
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Authors
Mostafa Sefidgar
Graduated Student Department of Mechanical Engineering University of Tehran
Ali Hakkaki-Fard
Graduated Student Department of Mechanical Engineering University of Tehran
Farshad Kowsary
Associated professor of Department of Mechanical Engineering University of Tehran