Training artificial neural networks to predict aerodynamic coefficients of airliner wing-fuselage configurations
Multi-disciplinary Design Optimization highly demands computational resources, therefore it is important to develop design tools with low computational cost without compromising the fidelity of the model. The main goal of this work was to establish a methodology of training artificial neural network...
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Format: | Others |
Language: | English |
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Instituto Tecnológico de Aeronáutica
2014
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Online Access: | http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=2955 |