Soft computing green renewable (26 résultats)
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Soft Computing in Green and Renewable Energy Systems
Gopalakrishnan, Kasthurirangan (EDT); Khaitan, Siddhartha Kumar (EDT); Kalogirou, Soteris (EDT)
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Série : Studies in Fuzziness and Soft Computing, Livre 62 sur 183. Livre 62 sur 183 - Studies in Fuzziness and Soft Computing
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Soft Computing in Green and Renewable Energy Systems
Gopalakrishnan, Kasthurirangan (EDT); Khaitan, Siddhartha Kumar (EDT); Kalogirou, Soteris (EDT)
Langue : anglais
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Série : Studies in Fuzziness and Soft Computing, Livre 62 sur 183. Livre 62 sur 183 - Studies in Fuzziness and Soft Computing
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Soft Computing in Green and Renewable Energy Systems
Gopalakrishnan, Kasthurirangan (EDT); Khaitan, Siddhartha Kumar (EDT); Kalogirou, Soteris (EDT)
Langue : anglais
Edité par Springer, 2011
Série : Studies in Fuzziness and Soft Computing, Livre 62 sur 183. Livre 62 sur 183 - Studies in Fuzziness and Soft Computing
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Série : Studies in Fuzziness and Soft Computing, Livre 62 sur 183. Livre 62 sur 183 - Studies in Fuzziness and Soft Computing
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Langue : anglais
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Série : Studies in Fuzziness and Soft Computing, Livre 62 sur 183. Livre 62 sur 183 - Studies in Fuzziness and Soft Computing
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Soft Computing in Green and Renewable Energy Systems
Gopalakrishnan, Kasthurirangan (EDT); Khaitan, Siddhartha Kumar (EDT); Kalogirou, Soteris (EDT)
Langue : anglais
Edité par Springer, 2011
Série : Studies in Fuzziness and Soft Computing, Livre 62 sur 183. Livre 62 sur 183 - Studies in Fuzziness and Soft Computing
- Couverture rigide
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Autres imagesLangue : anglais
Edité par Springer Berlin, 2016
Série : Studies in Fuzziness and Soft Computing, Livre 62 sur 183. Livre 62 sur 183 - Studies in Fuzziness and Soft Computing
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Taschenbuch. Etat : Neu. Soft Computing in Green and Renewable Energy Systems | Kasthurirangan Gopalakrishnan (u. a.) | Taschenbuch | xiv | Englisch | 2016 | Springer Berlin | EAN 9783662520000 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com… | Anbieter: preigu.
Langue : anglais
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Série : Studies in Fuzziness and Soft Computing, Livre 62 sur 183. Livre 62 sur 183 - Studies in Fuzziness and Soft Computing
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Taschenbuch. 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 pred…iction 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.
Langue : anglais
Edité par Springer Berlin Heidelberg, 2011
Série : Studies in Fuzziness and Soft Computing, Livre 62 sur 183. Livre 62 sur 183 - Studies in Fuzziness and Soft Computing
- Couverture rigide
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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.
Langue : anglais
Edité par J.B. Metzler, 2016
Série : Studies in Fuzziness and Soft Computing, Livre 62 sur 183. Livre 62 sur 183 - Studies in Fuzziness and Soft Computing
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 320 | Sprache: Englisch | Produktart: Bücher | 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 pe…rformance 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.
Langue : anglais
Edité par Springer, 2011
Série : Studies in Fuzziness and Soft Computing, Livre 62 sur 183. Livre 62 sur 183 - Studies in Fuzziness and Soft Computing
- Couverture rigide
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 320 | Sprache: Englisch | Produktart: Bücher | 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 pe…rformance 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.
Langue : anglais
Edité par Springer-Verlag New York Inc, 2011
Série : Studies in Fuzziness and Soft Computing, Livre 62 sur 183. Livre 62 sur 183 - Studies in Fuzziness and Soft Computing
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Taschenbuch. 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.
Langue : anglais
Edité par Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2011, 2011
Série : Studies in Fuzziness and Soft Computing, Livre 62 sur 183. Livre 62 sur 183 - Studies in Fuzziness and Soft Computing
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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 perform…ance 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.
Soft Computing in Green and Renewable Energy Systems
Gopalakrishnan, Kasthurirangan|Khaitan, Siddhartha Kumar|Kalogirou, Soteris
Langue : anglais
Edité par Springer Berlin Heidelberg, 2016
Série : Studies in Fuzziness and Soft Computing, Livre 62 sur 183. Livre 62 sur 183 - Studies in Fuzziness and Soft Computing
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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, forec…asting, and performance.
Soft Computing in Green and Renewable Energy Systems
Gopalakrishnan, Kasthurirangan|Khaitan, Siddhartha K.|Kalogirou, Soteris A.
Langue : anglais
Edité par Springer Berlin Heidelberg, 2011
Série : Studies in Fuzziness and Soft Computing, Livre 62 sur 183. Livre 62 sur 183 - Studies in Fuzziness and Soft Computing
- Couverture rigide
- impression à la demande
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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, forec…asting, and performance.
Langue : anglais
Edité par Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2016, 2016
Série : Studies in Fuzziness and Soft Computing, Livre 62 sur 183. Livre 62 sur 183 - Studies in Fuzziness and Soft Computing
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. 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 perf…ormance 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.
Langue : anglais
Edité par Springer, Springer Aug 2011, 2011
Série : Studies in Fuzziness and Soft Computing, Livre 62 sur 183. Livre 62 sur 183 - Studies in Fuzziness and Soft Computing
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 320 pp. Englisch.
