Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. 500.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 500.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. pp. 500.
Published by Elsevier Science Publishing Co Inc, 2022
ISBN 10: 0128207930 ISBN 13: 9780128207932
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
US$ 188.08
Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 450.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 194.26
Quantity: Over 20 available
Add to basketCondition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 202.32
Quantity: Over 20 available
Add to basketCondition: New. In.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Artificial Neural Networks for Renewable Energy Systems and Real-World Applications | Ammar Hamed Elsheikh (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Academic Press | EAN 9780128207932 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 232.58
Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
Seller: Brook Bookstore On Demand, Napoli, NA, Italy
Condition: new. Questo è un articolo print on demand.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 500 pages. 9.00x6.00x0.39 inches. In Stock. This item is printed on demand.
Published by Elsevier Science Publishing Co Inc Sep 2022, 2022
ISBN 10: 0128207930 ISBN 13: 9780128207932
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of complex engineering problems in the application, modeling, analysis, and optimization of different energy systems and manufacturing processes. With growing research catering to the applications of neural networks in specific industrial applications, this reference provides a single resource catering to a broader perspective of ANN in renewable energy systems and manufacturing processes. ANN-based methods have attracted the attention of scientists and researchers in different engineering and industrial disciplines, making this book a useful reference for all researchers and engineers interested in artificial networks, renewable energy systems, and manufacturing process analysis. 288 pp. Englisch.
Published by Elsevier Science & Technology|Academic Press, 2022
ISBN 10: 0128207930 ISBN 13: 9780128207932
Language: English
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of complex engineering problems in the application, modeling, analysis, and optimization of different energy systems and m.
Published by Elsevier Science & Technology, Academic Press, 2022
ISBN 10: 0128207930 ISBN 13: 9780128207932
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of complex engineering problems in the application, modeling, analysis, and optimization of different energy systems and manufacturing processes. With growing research catering to the applications of neural networks in specific industrial applications, this reference provides a single resource catering to a broader perspective of ANN in renewable energy systems and manufacturing processes. ANN-based methods have attracted the attention of scientists and researchers in different engineering and industrial disciplines, making this book a useful reference for all researchers and engineers interested in artificial networks, renewable energy systems, and manufacturing process analysis.