A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Artificial neural networks for inverse heat transfer problems
We present a solution for an inverse heat transfer problem involving internal heat generation using artificial neural networks. The problem involves a heat conduction problem with internal heat source in cylindrical coordinates. The network is a feedforward with backpropagation algorithm. We compare the results with the Levenberg-Marquardt method and discuss advantages and disadvantages. The two methods recover very well the optimum parameters.
Artificial neural networks for inverse heat transfer problems
We present a solution for an inverse heat transfer problem involving internal heat generation using artificial neural networks. The problem involves a heat conduction problem with internal heat source in cylindrical coordinates. The network is a feedforward with backpropagation algorithm. We compare the results with the Levenberg-Marquardt method and discuss advantages and disadvantages. The two methods recover very well the optimum parameters.
Artificial neural networks for inverse heat transfer problems
Cortes, O. (author) / Urquiza, G. (author) / Hernandez, J.A. (author) / Cruz, M.A. (author)
2007
4 Seiten, 11 Quellen
Conference paper
English
Estimation of heat transfer in oscillating annular flow using artificial neural networks
| Tema Archive | 2009
Modular Artificial Neural Networks for Solving the Inverse Transportation Planning Problem
| British Library Online Contents | 2003
Inverse Problems in Resin Transfer Molding
| British Library Online Contents | 1998