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Soft Computing Techniques Weather by Mohankumar Sudha (6 results)
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Soft Computing Techniques in Weather Science: Data-driven Techniques for Forecasting
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330078014 ISBN 13: 9783330078017
Language: English
Paperback. Condition: Brand New. 160 pages. 8.66x5.91x0.37 inches. In Stock.
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Soft Computing Techniques in Weather Science
Published by LAP LAMBERT Academic Publishing Apr 2017, 2017
ISBN 10: 3330078014 ISBN 13: 9783330078017
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 160 pp. Englisch.
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Soft Computing Techniques in Weather Science | Data-driven Techniques for Forecasting
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330078014 ISBN 13: 9783330078017
Language: English
Taschenbuch. Condition: 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: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Soft Computing Techniques in Weather Science
Published by LAP LAMBERT Academic Publishing Apr 2017, 2017
ISBN 10: 3330078014 ISBN 13: 9783330078017
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Soft Computing Techniques in Weather Science
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330078014 ISBN 13: 9783330078017
Language: English
Condition: 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.
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Soft Computing Techniques in Weather Science : Data-driven Techniques for Forecasting
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330078014 ISBN 13: 9783330078017
Language: English
Taschenbuch. Condition: 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.
