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Artificial Neural Networks in Hydrology (Water Science and Technology Library):
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9789048154210 - Springer: Artificial Neural Networks in Hydrology
1
Springer (?):

Artificial Neural Networks in Hydrology (2010) (?)

Levering van: Nederland

ISBN: 9789048154210 (?) of 9048154219, in het Nederlands, Springer, Paperback, Nieuw

Vermoedelijk 4-6 weken
bol.com
R. S. GOVINDARAJU and ARAMACHANDRA RAO School of Civil Engineering Purdue University West Lafayette, IN. , USA Background and Motivation The basic notion of artificial neural networks (ANNs), as we understand them today, was perhaps first formalized by McCulloch and Pitts (1943) in their model of an artificial neuron. Research in this field remained somewhat dormant in the early years, perhaps because of the limited capabilities of this method and because there was no clear indication of its pot... R. S. GOVINDARAJU and ARAMACHANDRA RAO School of Civil Engineering Purdue University West Lafayette, IN. , USA Background and Motivation The basic notion of artificial neural networks (ANNs), as we understand them today, was perhaps first formalized by McCulloch and Pitts (1943) in their model of an artificial neuron. Research in this field remained somewhat dormant in the early years, perhaps because of the limited capabilities of this method and because there was no clear indication of its potential uses. However, interest in this area picked up momentum in a dramatic fashion with the works of Hopfield (1982) and Rumelhart et al. (1986). Not only did these studies place artificial neural networks on a firmer mathematical footing, but also opened the dOOf to a host of potential applications for this computational tool. Consequently, neural network computing has progressed rapidly along all fronts: theoretical development of different learning algorithms, computing capabilities, and applications to diverse areas from neurophysiology to the stock market. . Initial studies on artificial neural networks were prompted by adesire to have computers mimic human learning. As a result, the jargon associated with the technical literature on this subject is replete with expressions such as excitation and inhibition of neurons, strength of synaptic connections, learning rates, training, and network experience. ANNs have also been referred to as neurocomputers by people who want to preserve this analogy.Taal: Engels;Afmetingen: 18x234x156 mm;Gewicht: 597,00 gram;Verschijningsdatum: december 2010;ISBN10: 9048154219;ISBN13: 9789048154210; Engelstalig | Paperback | 2010
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Nieuw, Vermoedelijk 4-6 weken
Platform bestelnummer Bol.com: 9200000002364760
Categorie: Studie & Management, Exacte wetenschappen, Aardwetenschappen /, Studie & Management, Techniek & Technologie, Informatica /, Studie & Management, Exacte wetenschappen, Natuurkunde
Gegevens uit 08-03-2017 09:29h
ISBN (alternatieve notaties): 90-481-5421-9, 978-90-481-5421-0
9789048154210 - Editor: R. S. Govindaraju, Series Editor: A. Ramachandra Rao: Artificial Neural Networks in Hydrology (Water Science and Technology Library)
2
Editor: R. S. Govindaraju, Series Editor: A. Ramachandra Rao (?):

Artificial Neural Networks in Hydrology (Water Science and Technology Library) (2009) (?)

ISBN: 9789048154210 (?) of 9048154219, in het Engels, 352 pagina 's, Springer Netherlands, Paperback, Gebruikt

206,93 (£ 179,30)¹(zonder verplichting)
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Van verkoper/antiquair, Herb Tandree Philosophy Books
The past decade has witnessed a flurry of hydrologic research activity related to artificial neural networks (ANNs). This volume is a compilation of chapters that have been contributed by researchers from several countries, and represents a wide spectrum of ANN applications in hydrology. Future potential of ANN applications has been identified at appropriate places. Readers of the book will find chapters dealing with preliminary aspects as well as advanced features of ANNs. With a unique focus towards hydrologic applications, this book will serve as a valuable reference for graduate students, research workers, and professionals interested in learning more about this computational tool. The goal of this book is to help ANNs find greater acceptability among researchers and practising hydrologists alike. Paperback, Editie: Softcover reprint of hardcover 1st Ed. 2000, Label: Springer Netherlands, Springer Netherlands, Productgroep: Book, Gepubliceerd: 2009-12-28, Releasedatum: 2009-12-28, Studio: Springer Netherlands
Platform bestelnummer Amazon.co.uk: IH24pghp2T0oZIKhErRfc4oSQKZkUP 4HFqyYerKmuM43S44DEp5z%2BsbJRW 9j%2BXJI3nde%2FPkFTMV7qD8S7IeT jOraibhHBedFY951acFVZnKzP1BFN6 CqG%2BD0kUXsSRkQlS7r3aHDjP5Ue8 KYat8q2WjFg6YuEcEz
Trefwoorden: Books, Computing & Internet, Computer Science, Artificial Intelligence, Science & Nature, Engineering & Technology, Engineering Physics, Mathematical, Cosmology, Relativity, Popular Science, Scientific, Technical & Medical, Earth Sciences, Applied Physics, Electricity, Magnetism & Electromagnetism, Mechanics, Particle Physics, Quantum Mechanics, Theoretical Physics
Gegevens uit 08-03-2017 09:29h
ISBN (alternatieve notaties): 90-481-5421-9, 978-90-481-5421-0
9789048154210 - Editor: R. S. Govindaraju, Series Editor: A. Ramachandra Rao: Artificial Neural Networks in Hydrology (Water Science and Technology Library)
3
Editor: R. S. Govindaraju, Series Editor: A. Ramachandra Rao (?):

Artificial Neural Networks in Hydrology (Water Science and Technology Library) (2009) (?)

ISBN: 9789048154210 (?) of 9048154219, in het Engels, 352 pagina 's, Springer Netherlands, Paperback, Nieuw

193,08 (£ 167,30)¹(zonder verplichting)
Usually dispatched within 1-2 business days, exclusief verzendkosten (indien geleverd)
Van verkoper/antiquair, UKPaperbackshop
The past decade has witnessed a flurry of hydrologic research activity related to artificial neural networks (ANNs). This volume is a compilation of chapters that have been contributed by researchers from several countries, and represents a wide spectrum of ANN applications in hydrology. Future potential of ANN applications has been identified at appropriate places. Readers of the book will find chapters dealing with preliminary aspects as well as advanced features of ANNs. With a unique focus towards hydrologic applications, this book will serve as a valuable reference for graduate students, research workers, and professionals interested in learning more about this computational tool. The goal of this book is to help ANNs find greater acceptability among researchers and practising hydrologists alike. Paperback, Editie: Softcover reprint of hardcover 1st Ed. 2000, Label: Springer Netherlands, Springer Netherlands, Productgroep: Book, Gepubliceerd: 2009-12-28, Releasedatum: 2009-12-28, Studio: Springer Netherlands
Platform bestelnummer Amazon.co.uk: IH24pghp2T0oZIKhErRfc4oSQKZkUP 4HJWchx%2FWWjlDhAJIv%2B2%2FEfy vjrIxBPbXCWagBE9FjmCbkbYwiqxoc ffhAAqjeJUXuju2MQBnMWF6z0uA0pr xCI6eYfoO8yc181y%2FEQJatpftr74 YZ939llw%3D%3D
Trefwoorden: Books, Computing & Internet, Computer Science, Artificial Intelligence, Science & Nature, Engineering & Technology, Engineering Physics, Mathematical, Cosmology, Relativity, Popular Science, Scientific, Technical & Medical, Earth Sciences, Applied Physics, Electricity, Magnetism & Electromagnetism, Mechanics, Particle Physics, Quantum Mechanics, Theoretical Physics
Gegevens uit 08-03-2017 09:29h
ISBN (alternatieve notaties): 90-481-5421-9, 978-90-481-5421-0

9789048154210

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