سال انتشار: ۱۳۸۶

محل انتشار: پانزدهمین کنفرانس سالانه مهندسی مکانیک

تعداد صفحات: ۵

نویسنده(ها):

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

چکیده:

Inverse problems are problems of determining cause on the basis of the effects. In this article the artificial neural networks (ANN) is utilized inorder 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 ofthe SFS method.