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Emissions legislation has become progressively tighter, making the development of new internal combustion engines very challenging. New engine technologies for complying with these regulations introduce an exponential dependency between the number of test combinations required for obtaining optimum results and the time and cost outlays. This makes the calibration task very expensive and virtually impossible to carry out. The potential use of trained neural networks in combination with Design of Experiments (DoE) methods for engine calibration has been a subject of research activities in recent times. The purpose of this book is to give an overview of the various applications of neural networks in the calibration of spark-ignition engines. The identified and discussed applications include system identification for rapid prototyping, virtual sensing, use of neural networks as look-up table surrogates, emerging control strategies and On-Board Diagnostic (OBD) applications. The demerits of neural networks, future possibilities and alternatives were also discussed.
Biografía del autor
Dr. Richard Fiifi Turkson is a Lecturer in the Department of Mechanical Engineering, Ho Polytechnic, Ghana. He holds a PhD in Vehicle Engineering awarded by Wuhan University of Technology, China. His research interests include the modeling and optimal calibration of spark-ignition engines via the use of nature-inspired meta-heuristic algorithms.
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- EditorialLAP LAMBERT Academic Publishing
- Año de publicación2016
- ISBN 10 3659956619
- ISBN 13 9783659956614
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas52
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Artificial Neural Network Applications in the Calibration of Engines
Publicado por
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659956619
ISBN 13: 9783659956614
Nuevo
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Artificial Neural Network Applications in the Calibration of Engines
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LAP LAMBERT Academic Publishing Okt 2016, 2016
ISBN 10: 3659956619
ISBN 13: 9783659956614
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Emissions legislation has become progressively tighter, making the development of new internal combustion engines very challenging. New engine technologies for complying with these regulations introduce an exponential dependency between the number of test combinations required for obtaining optimum results and the time and cost outlays. This makes the calibration task very expensive and virtually impossible to carry out. The potential use of trained neural networks in combination with Design of Experiments (DoE) methods for engine calibration has been a subject of research activities in recent times. The purpose of this book is to give an overview of the various applications of neural networks in the calibration of spark-ignition engines. The identified and discussed applications include system identification for rapid prototyping, virtual sensing, use of neural networks as look-up table surrogates, emerging control strategies and On-Board Diagnostic (OBD) applications. The demerits of neural networks, future possibilities and alternatives were also discussed. 52 pp. Englisch. Nº de ref. del artículo: 9783659956614
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Artificial Neural Network Applications in the Calibration of Engines
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659956619
ISBN 13: 9783659956614
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Artificial Neural Network Applications in the Calibration of Engines
Publicado por
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659956619
ISBN 13: 9783659956614
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Emissions legislation has become progressively tighter, making the development of new internal combustion engines very challenging. New engine technologies for complying with these regulations introduce an exponential dependency between the number of test combinations required for obtaining optimum results and the time and cost outlays. This makes the calibration task very expensive and virtually impossible to carry out. The potential use of trained neural networks in combination with Design of Experiments (DoE) methods for engine calibration has been a subject of research activities in recent times. The purpose of this book is to give an overview of the various applications of neural networks in the calibration of spark-ignition engines. The identified and discussed applications include system identification for rapid prototyping, virtual sensing, use of neural networks as look-up table surrogates, emerging control strategies and On-Board Diagnostic (OBD) applications. The demerits of neural networks, future possibilities and alternatives were also discussed. Nº de ref. del artículo: 9783659956614
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Artificial Neural Network Applications in the Calibration of Engines
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659956619
ISBN 13: 9783659956614
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Artificial Neural Network Applications in the Calibration of Engines
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659956619
ISBN 13: 9783659956614
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Paperback. Condición: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. Nº de ref. del artículo: 3659956619
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Artificial Neural Network Applications in the Calibration of Engines
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659956619
ISBN 13: 9783659956614
Nuevo
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Turkson Richard FiifiDr. Richard Fiifi Turkson is a Lecturer in the Department of Mechanical Engineering, Ho Polytechnic, Ghana. He holds a PhD in Vehicle Engineering awarded by Wuhan University of Technology, China. His research int. Nº de ref. del artículo: 158125656
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