Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330078014 ISBN 13: 9783330078017
Da: Revaluation Books, Exeter, Regno Unito
EUR 108,48
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 160 pages. 8.66x5.91x0.37 inches. In Stock.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330078014 ISBN 13: 9783330078017
Da: preigu, Osnabrück, Germania
EUR 55,55
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Soft Computing Techniques in Weather Science | Data-driven Techniques for Forecasting | Sudha Mohankumar | Taschenbuch | 160 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330078017 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Apr 2017, 2017
ISBN 10: 3330078014 ISBN 13: 9783330078017
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 64,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this 'Soft Computing Techniques in Weather Science' book by Dr. Sudha Mohankumar presents a comprehensive collection of Data Mining and Soft Computing approaches for short-range weather forecasting. The basic Rough Set, Neural Network, Fuzzy Theories and Classification concepts are dealt in detail with the relevant information for understanding the computing process. The applicability of various techniques in rainfall modeling is explained with the real-time observational dataset, highlighting the difference between various theoretical models. The book can be used as a handbook as well as a guide for soft computing research scholars and for various professionals who work in this area. 160 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330078014 ISBN 13: 9783330078017
Da: moluna, Greven, Germania
EUR 52,90
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mohankumar SudhaDr. Sudha Mohankumar is Associate Professor and joined the Information Technology & Engineering department at the VIT University (India) in 2008. Her current research interests are in the areas of Computational Intel.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Apr 2017, 2017
ISBN 10: 3330078014 ISBN 13: 9783330078017
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 64,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this 'Soft Computing Techniques in Weather Science¿ book by Dr. Sudha Mohankumar presents a comprehensive collection of Data Mining and Soft Computing approaches for short-range weather forecasting. The basic Rough Set, Neural Network, Fuzzy Theories and Classification concepts are dealt in detail with the relevant information for understanding the computing process. The applicability of various techniques in rainfall modeling is explained with the real-time observational dataset, highlighting the difference between various theoretical models. The book can be used as a handbook as well as a guide for soft computing research scholars and for various professionals who work in this area.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 160 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330078014 ISBN 13: 9783330078017
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 64,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this 'Soft Computing Techniques in Weather Science' book by Dr. Sudha Mohankumar presents a comprehensive collection of Data Mining and Soft Computing approaches for short-range weather forecasting. The basic Rough Set, Neural Network, Fuzzy Theories and Classification concepts are dealt in detail with the relevant information for understanding the computing process. The applicability of various techniques in rainfall modeling is explained with the real-time observational dataset, highlighting the difference between various theoretical models. The book can be used as a handbook as well as a guide for soft computing research scholars and for various professionals who work in this area.