Articles liés à Fuzzy logic and artificial neural network for hydrological...
Fuzzy logic and artificial neural network for hydrological modeling: a case study of Brahmaputra basin in India - Couverture souple
Synopsis
The combination of Artificial Neural Network and Fuzzy Logic are probably the most attractive techniques among the researchers in recent times which is capable of handling non-linear, imprecise, fuzzy, noisy and probabilistic information to solve complex problem in efficient manner. Hybrid systems are designed to take advantage of the strengths of each system and avoid the limitations of each system. It is natural for neural networks to learn but it is cumbersome for a fuzzy system to learn. Hence a combination of the two would result in a rule- based system that can learn and adapt. This book, therefore, provide a comprehensive and integrated approach using Fuzzy logic and Artificial neural network techniques in modeling selected hydrological problems related to International river Brahmaputra within India. Four different hydrological problems are modeled using the proposed fuzzy – neural network approach for examining the usefulness of it. This comprehensive real time hydrological modelling study should be especially useful to the Hydrologist, civil engineers, agriculturists, students, field engineers and related governmental as well as non-governmental organisations.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
The combination of Artificial Neural Network and Fuzzy Logic are probably the most attractive techniques among the researchers in recent times which is capable of handling non-linear, imprecise, fuzzy, noisy and probabilistic information to solve complex problem in efficient manner. Hybrid systems are designed to take advantage of the strengths of each system and avoid the limitations of each system. It is natural for neural networks to learn but it is cumbersome for a fuzzy system to learn. Hence a combination of the two would result in a rule- based system that can learn and adapt. This book, therefore, provide a comprehensive and integrated approach using Fuzzy logic and Artificial neural network techniques in modeling selected hydrological problems related to International river Brahmaputra within India. Four different hydrological problems are modeled using the proposed fuzzy – neural network approach for examining the usefulness of it. This comprehensive real time hydrological modelling study should be especially useful to the Hydrologist, civil engineers, agriculturists, students, field engineers and related governmental as well as non-governmental organisations.
Biographie de l'auteur
Dr.Deka took Phd from IIT, Guwahati in 2004.He served as Assistant professor in Arbaminch University, Ethiopia during 2005-2008.Currently, He is the faculty of NIT, Surathkal, India. He has published more than twenty research papers in various international journals related to applications of ANN, FL, GA, and WAVELET TRANSFORM in water resources.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Acheter neuf
Afficher cet article
EUR 55,21
EUR 9,70 expédition depuis Allemagne vers France
Destinations, frais et délaisRésultats de recherche pour Fuzzy logic and artificial neural network for hydrological...
Image fournie par le vendeur
Fuzzy logic and artificial neural network for hydrological modeling
Edité par
LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3846542245
ISBN 13 : 9783846542248
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Deka Paresh ChandraDr.Deka took Phd from IIT, Guwahati in 2004.He served as Assistant professor in Arbaminch University, Ethiopia during 2005-2008.Currently, He is the faculty of NIT, Surathkal, India. He has published more than twen. N° de réf. du vendeur 5497868
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Fuzzy logic and artificial neural network for hydrological modeling : a case study of Brahmaputra basin in India
Edité par
LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3846542245
ISBN 13 : 9783846542248
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The combination of Artificial Neural Network and Fuzzy Logic are probably the most attractive techniques among the researchers in recent times which is capable of handling non-linear, imprecise, fuzzy, noisy and probabilistic information to solve complex problem in efficient manner. Hybrid systems are designed to take advantage of the strengths of each system and avoid the limitations of each system. It is natural for neural networks to learn but it is cumbersome for a fuzzy system to learn. Hence a combination of the two would result in a rule- based system that can learn and adapt. This book, therefore, provide a comprehensive and integrated approach using Fuzzy logic and Artificial neural network techniques in modeling selected hydrological problems related to International river Brahmaputra within India. Four different hydrological problems are modeled using the proposed fuzzy neural network approach for examining the usefulness of it. This comprehensive real time hydrological modelling study should be especially useful to the Hydrologist, civil engineers, agriculturists, students, field engineers and related governmental as well as non-governmental organisations. N° de réf. du vendeur 9783846542248
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Fuzzy logic and artificial neural network for hydrological modeling
Edité par
LAP LAMBERT Academic Publishing Okt 2011, 2011
ISBN 10 : 3846542245
ISBN 13 : 9783846542248
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The combination of Artificial Neural Network and Fuzzy Logic are probably the most attractive techniques among the researchers in recent times which is capable of handling non-linear, imprecise, fuzzy, noisy and probabilistic information to solve complex problem in efficient manner. Hybrid systems are designed to take advantage of the strengths of each system and avoid the limitations of each system. It is natural for neural networks to learn but it is cumbersome for a fuzzy system to learn. Hence a combination of the two would result in a rule- based system that can learn and adapt. This book, therefore, provide a comprehensive and integrated approach using Fuzzy logic and Artificial neural network techniques in modeling selected hydrological problems related to International river Brahmaputra within India. Four different hydrological problems are modeled using the proposed fuzzy neural network approach for examining the usefulness of it. This comprehensive real time hydrological modelling study should be especially useful to the Hydrologist, civil engineers, agriculturists, students, field engineers and related governmental as well as non-governmental organisations. 184 pp. Englisch. N° de réf. du vendeur 9783846542248
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Fuzzy logic and artificial neural network for hydrological modeling
Edité par
LAP LAMBERT Academic Publishing Okt 2011, 2011
ISBN 10 : 3846542245
ISBN 13 : 9783846542248
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -The combination of Artificial Neural Network and Fuzzy Logic are probably the most attractive techniques among the researchers in recent times which is capable of handling non-linear, imprecise, fuzzy, noisy and probabilistic information to solve complex problem in efficient manner. Hybrid systems are designed to take advantage of the strengths of each system and avoid the limitations of each system. It is natural for neural networks to learn but it is cumbersome for a fuzzy system to learn. Hence a combination of the two would result in a rule- based system that can learn and adapt. This book, therefore, provide a comprehensive and integrated approach using Fuzzy logic and Artificial neural network techniques in modeling selected hydrological problems related to International river Brahmaputra within India. Four different hydrological problems are modeled using the proposed fuzzy ¿ neural network approach for examining the usefulness of it. This comprehensive real time hydrological modelling study should be especially useful to the Hydrologist, civil engineers, agriculturists, students, field engineers and related governmental as well as non-governmental organisations.Books on Demand GmbH, Überseering 33, 22297 Hamburg 184 pp. Englisch. N° de réf. du vendeur 9783846542248
Quantité disponible : 2 disponible(s)
Image d'archives
Fuzzy Logic And Artificial Neural Network For Hydrological Modeling: A Case Study Of Brahmaputra Basin In India
Edité par
Lap Lambert Academic Publishing, 2011
ISBN 10 : 3846542245
ISBN 13 : 9783846542248
Neuf
Paperback
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : Brand New. 184 pages. 8.66x5.91x0.42 inches. In Stock. N° de réf. du vendeur __3846542245
Quantité disponible : 1 disponible(s)
Image d'archives
Fuzzy logic and artificial neural network for hydrological modeling: a case study of Brahmaputra basin in India
Edité par
LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3846542245
ISBN 13 : 9783846542248
Neuf
paperback
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
paperback. Etat : New. New. book. N° de réf. du vendeur ERICA82938465422456
Quantité disponible : 1 disponible(s)