Artificial Neural Networks (ANNs) are immensely interesting due to their capability to predict the complex system output with various input parameters. Accordingly, researchers are seeking to improve the efficiency of ANNs in predicting the various engineering problems. Therefore, in the present book, we tried to develop an iterative methodology based on the ANNs in order to predict the engineering problems. Then, we tested this suggested method on different CFD and experimental marine engineering problems. This book highlighted the theoretical aspects of artificial neural networks (ANNs) and an iterative optimized ANN methodology. Afterward, in this book, the proposed ANN methodology is applied to various CFD and experimental marine engineering problems such as thermophysical properties of liquid water, hydrodynamics of hydrofoils, high-speed crafts, marine propellers, marine structures etc. Consequently, this book can be appropriate guidance for researchers and engineers in the context of marine engineering for recognition of the effects of ANNs in the prediction of different marine engineering problems.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Artificial Neural Networks (ANNs) are immensely interesting due to their capability to predict the complex system output with various input parameters. Accordingly, researchers are seeking to improve the efficiency of ANNs in predicting the various engineering problems. Therefore, in the present book, we tried to develop an iterative methodology based on the ANNs in order to predict the engineering problems. Then, we tested this suggested method on different CFD and experimental marine engineering problems. This book highlighted the theoretical aspects of artificial neural networks (ANNs) and an iterative optimized ANN methodology. Afterward, in this book, the proposed ANN methodology is applied to various CFD and experimental marine engineering problems such as thermophysical properties of liquid water, hydrodynamics of hydrofoils, high-speed crafts, marine propellers, marine structures etc. Consequently, this book can be appropriate guidance for researchers and engineers in the context of marine engineering for recognition of the effects of ANNs in the prediction of different marine engineering problems. 204 pp. Englisch. N° de réf. du vendeur 9786202528955
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Taschenbuch. Etat : Neu. Application of Artificial Neural Network in Marine Engineering | Hashem Nowruzi (u. a.) | Taschenbuch | 204 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202528955 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 118391067
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Artificial Neural Networks (ANNs) are immensely interesting due to their capability to predict the complex system output with various input parameters. Accordingly, researchers are seeking to improve the efficiency of ANNs in predicting the various engineering problems. Therefore, in the present book, we tried to develop an iterative methodology based on the ANNs in order to predict the engineering problems. Then, we tested this suggested method on different CFD and experimental marine engineering problems. This book highlighted the theoretical aspects of artificial neural networks (ANNs) and an iterative optimized ANN methodology. Afterward, in this book, the proposed ANN methodology is applied to various CFD and experimental marine engineering problems such as thermophysical properties of liquid water, hydrodynamics of hydrofoils, high-speed crafts, marine propellers, marine structures etc. Consequently, this book can be appropriate guidance for researchers and engineers in the context of marine engineering for recognition of the effects of ANNs in the prediction of different marine engineering problems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 204 pp. Englisch. N° de réf. du vendeur 9786202528955
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Neural Networks (ANNs) are immensely interesting due to their capability to predict the complex system output with various input parameters. Accordingly, researchers are seeking to improve the efficiency of ANNs in predicting the various engineering problems. Therefore, in the present book, we tried to develop an iterative methodology based on the ANNs in order to predict the engineering problems. Then, we tested this suggested method on different CFD and experimental marine engineering problems. This book highlighted the theoretical aspects of artificial neural networks (ANNs) and an iterative optimized ANN methodology. Afterward, in this book, the proposed ANN methodology is applied to various CFD and experimental marine engineering problems such as thermophysical properties of liquid water, hydrodynamics of hydrofoils, high-speed crafts, marine propellers, marine structures etc. Consequently, this book can be appropriate guidance for researchers and engineers in the context of marine engineering for recognition of the effects of ANNs in the prediction of different marine engineering problems. N° de réf. du vendeur 9786202528955
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