Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
EUR 80,49
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Añadir al carritoHardcover. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 115,52
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 146,42
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 308.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 154,71
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 318 pages. 9.50x6.50x1.00 inches. In Stock.
Idioma: Inglés
Publicado por Springer International Publishing, Springer International Publishing, 2015
ISBN 10: 331919254X ISBN 13: 9783319192543
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 106,99
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents an intelligent, integrated, problem-independent method for multiresponse process optimization. In contrast to traditional approaches, the idea of this method is to provide a unique model for the optimization of various processes, without imposition of assumptions relating to the type of process, the type and number of process parameters and responses, or interdependences among them. The presented method for experimental design of processes with multiple correlated responses is composed of three modules: an expert system that selects the experimental plan based on the orthogonal arrays; the factor effects approach, which performs processing of experimental data based on Taguchi's quality loss function and multivariate statistical methods; and process modeling and optimization based on artificial neural networks and metaheuristic optimization algorithms. The implementation is demonstrated using four case studies relating to high-tech industries and advanced, non-conventional processes.
Librería: Buchpark, Trebbin, Alemania
EUR 73,65
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Seiten: 316 | Sprache: Englisch | Produktart: Bücher | This book presents an intelligent, integrated, problem-independent method for multiresponse process optimization. In contrast to traditional approaches, the idea of this method is to provide a unique model for the optimization of various processes, without imposition of assumptions relating to the type of process, the type and number of process parameters and responses, or interdependences among them. The presented method for experimental design of processes with multiple correlated responses is composed of three modules: an expert system that selects the experimental plan based on the orthogonal arrays; the factor effects approach, which performs processing of experimental data based on Taguchi¿s quality loss function and multivariate statistical methods; and process modeling and optimization based on artificial neural networks and metaheuristic optimization algorithms. The implementation is demonstrated using four case studies relating to high-tech industries and advanced, non-conventional processes.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 86,24
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer International Publishing Aug 2015, 2015
ISBN 10: 331919254X ISBN 13: 9783319192543
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 106,99
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents an intelligent, integrated, problem-independent method for multiresponse process optimization. In contrast to traditional approaches, the idea of this method is to provide a unique model for the optimization of various processes, without imposition of assumptions relating to the type of process, the type and number of process parameters and responses, or interdependences among them. The presented method for experimental design of processes with multiple correlated responses is composed of three modules: an expert system that selects the experimental plan based on the orthogonal arrays; the factor effects approach, which performs processing of experimental data based on Taguchi's quality loss function and multivariate statistical methods; and process modeling and optimization based on artificial neural networks and metaheuristic optimization algorithms. The implementation is demonstrated using four case studies relating to high-tech industries and advanced, non-conventional processes. 316 pp. Englisch.
Idioma: Inglés
Publicado por Springer International Publishing, 2015
ISBN 10: 331919254X ISBN 13: 9783319192543
Librería: moluna, Greven, Alemania
EUR 92,27
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers a comprehensive model for multiresponse optimization of complex industrial processes based on artificial intelligence techniquesPresents instructive case studies relating to high-tech industries and advanced, non-conventional processes.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 150,37
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. 308.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 150,11
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND pp. 308.
Idioma: Inglés
Publicado por Springer, Springer Aug 2015, 2015
ISBN 10: 331919254X ISBN 13: 9783319192543
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 106,99
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents an intelligent, integrated, problem-independent method for multiresponse process optimization. In contrast to traditional approaches, the idea of this method is to provide a unique model for the optimization of various processes, without imposition of assumptions relating to the type of process, the type and number of process parameters and responses, or interdependences among them. The presented method for experimental design of processes with multiple correlated responses is composed of three modules: an expert system that selects the experimental plan based on the orthogonal arrays; the factor effects approach, which performs processing of experimental data based on Taguchi¿s quality loss function and multivariate statistical methods; and process modeling and optimization based on artificial neural networks and metaheuristic optimization algorithms. The implementation is demonstrated usingfour case studies relating to high-tech industries andadvanced, non-conventional processes.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 316 pp. Englisch.