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Synopsis
This practical introduction demonstrates how to apply soft computing and hybrid intelligent systems to a plethora of aspects of green and renewable energy systems, including design, modeling, characterization, optimization, and performance prediction.
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Présentation de l'éditeur
This practical introduction demonstrates how to apply soft computing and hybrid intelligent systems to a plethora of aspects of green and renewable energy systems, including design, modeling, characterization, optimization, and performance prediction.
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- ÉditeurSpringer-Verlag Berlin and Heidelberg GmbH & Co. K
- Date d'édition2011
- ISBN 10 3642221750
- ISBN 13 9783642221750
- ReliureRelié
- Langueanglais
- Nombre de pages305
- ÉditeurGopalakrishnan Kasthurirangan, Khaitan Siddhartha Kumar, Kalogirou Soteris
- Coordonnées du fabricantnon disponible
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Soft Computing in Green and Renewable Energy Systems
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Springer Berlin Heidelberg, 2011
ISBN 10 : 3642221750
ISBN 13 : 9783642221750
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Etat : Sehr gut. Zustand: Sehr gut - Neubindung, Buchschnitt leicht verkürzt, Buchecken und -kanten leicht angestoßen, Ausgabe 2011 | Seiten: 320 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 10867016/12
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Soft Computing in Green and Renewable Energy Systems
Edité par
Springer Berlin Heidelberg, 2011
ISBN 10 : 3642221750
ISBN 13 : 9783642221750
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. State-of-the-art applications of soft computing techniques to green and renewable energy systems Presents soft computing techniques and hybrid intelligent systems for designing, modeling, characterizing, optimizing, forecasting, and performance. N° de réf. du vendeur 5052798
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Soft Computing in Green and Renewable Energy Systems
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Springer Berlin Heidelberg, 2011
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ISBN 13 : 9783642221750
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Soft Computing in Green and Renewable Energy Systems provides a practical introduction to the application of soft computing techniques and hybrid intelligent systems for designing, modeling, characterizing, optimizing, forecasting, and performance prediction of green and renewable energy systems. Research is proceeding at jet speed on renewable energy (energy derived from natural resources such as sunlight, wind, tides, rain, geothermal heat, biomass, hydrogen, etc.) as policy makers, researchers, economists, and world agencies have joined forces in finding alternative sustainable energy solutions to current critical environmental, economic, and social issues. The innovative models, environmentally benign processes, data analytics, etc. employed in renewable energy systems are computationally-intensive, non-linear and complex as well as involve a high degree of uncertainty. Soft computing technologies, such as fuzzy sets and systems, neural science and systems, evolutionary algorithms and genetic programming, and machine learning, are ideal in handling the noise, imprecision, and uncertainty in the data, and yet achieve robust, low-cost solutions. As a result, intelligent and soft computing paradigms are finding increasing applications in the study of renewable energy systems. Researchers, practitioners, undergraduate and graduate students engaged in the study of renewable energy systems will find this book very useful. N° de réf. du vendeur 9783642221750
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Soft Computing in Green and Renewable Energy Systems
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2011, 2011
ISBN 10 : 3642221750
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Soft Computing in Green and Renewable Energy Systems provides a practical introduction to the application of soft computing techniques and hybrid intelligent systems for designing, modeling, characterizing, optimizing, forecasting, and performance prediction of green and renewable energy systems. Research is proceeding at jet speed on renewable energy (energy derived from natural resources such as sunlight, wind, tides, rain, geothermal heat, biomass, hydrogen, etc.) as policy makers, researchers, economists, and world agencies have joined forces in finding alternative sustainable energy solutions to current critical environmental, economic, and social issues. The innovative models, environmentally benign processes, data analytics, etc. employed in renewable energy systems are computationally-intensive, non-linear and complex as well as involve a high degree of uncertainty. Soft computing technologies, such as fuzzy sets and systems, neural science and systems, evolutionary algorithms and genetic programming, and machine learning, are ideal in handling the noise, imprecision, and uncertainty in the data, and yet achieve robust, low-cost solutions. As a result, intelligent and soft computing paradigms are finding increasing applications in the study of renewable energy systems. Researchers, practitioners, undergraduate and graduate students engaged in the study of renewable energy systems will find this book very useful. 320 pp. Englisch. N° de réf. du vendeur 9783642221750
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Soft Computing in Green and Renewable Energy Systems
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2011, 2011
ISBN 10 : 3642221750
ISBN 13 : 9783642221750
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. Neuware -Soft Computing in Green and Renewable Energy Systems provides a practical introduction to the application of soft computing techniques and hybrid intelligent systems for designing, modeling, characterizing, optimizing, forecasting, and performance prediction of green and renewable energy systems. Research is proceeding at jet speed on renewable energy (energy derived from natural resources such as sunlight, wind, tides, rain, geothermal heat, biomass, hydrogen, etc.) as policy makers, researchers, economists, and world agencies have joined forces in finding alternative sustainable energy solutions to current critical environmental, economic, and social issues. The innovative models, environmentally benign processes, data analytics, etc. employed in renewable energy systems are computationally-intensive, non-linear and complex as well as involve a high degree of uncertainty. Soft computing technologies, such as fuzzy sets and systems, neural science and systems, evolutionary algorithms and genetic programming, and machine learning, are ideal in handling the noise, imprecision, and uncertainty in the data, and yet achieve robust, low-cost solutions. As a result, intelligent and soft computing paradigms are finding increasing applications in the study of renewable energy systems. Researchers, practitioners, undergraduate and graduate students engaged in the study of renewable energy systems will find this book very useful.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 320 pp. Englisch. N° de réf. du vendeur 9783642221750
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Soft Computing in Green and Renewable Energy Systems (Studies in Fuzziness and Soft Computing, 269)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Soft Computing in Green and Renewable Energy Systems (Studies in Fuzziness and Soft Computing, 269)
Vendeur : California Books, Miami, FL, Etats-Unis
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Soft Computing in Green and Renewable Energy Systems
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Springer-Verlag New York Inc, 2011
ISBN 10 : 3642221750
ISBN 13 : 9783642221750
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Hardcover. Etat : Brand New. 320 pages. 9.25x6.25x0.75 inches. In Stock. N° de réf. du vendeur x-3642221750
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