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Artificial Neural Networks in Hydrology - R.S. Govindaraju
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R.S. Govindaraju:
Artificial Neural Networks in Hydrology - nieuw boek

ISBN: 9789048154210

ID: 978904815421

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. R.S. Govindaraju, Books, Science and Nature, Artificial Neural Networks in Hydrology Books>Science and Nature, Springer-Verlag/Sci-Tech/Trade

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Artificial Neural Networks in Hydrology (Paperback)
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Artificial Neural Networks in Hydrology (Paperback) - pocketboek

2010, ISBN: 9048154219

ID: 13956378772

[EAN: 9789048154210], Neubuch, [PU: Springer, Netherlands], Language: English . Brand New Book ***** Print on Demand *****.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. Softcover reprint of hardcover 1st ed. 2000.

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Artificial Neural Networks in Hydrology - R.S. Govindaraju; A.R. Rao
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R.S. Govindaraju; A.R. Rao:
Artificial Neural Networks in Hydrology - pocketboek

ISBN: 9789048154210

ID: 9789048154210

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. Books > Earth Sciences Soft cover, Springer Shop

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Artificial Neural Networks in Hydrology
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Artificial Neural Networks in Hydrology - pocketboek

2010, ISBN: 9789048154210

gebonden uitgave, ID: 71786206

Erscheinungsdatum: 07.12.2010, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Artificial Neural Networks in Hydrology, Auflage: Softcover reprint of hardcover 1st ed. 2000, Redaktion: Govindaraju, R. S. // Rao, A. R., Verlag: Springer Netherlands // Springer Netherland, Sprache: Englisch, Schlagworte: Statistische Physik // Geowissenschaften // Hydrologie und die Hydrosphäre // Informatik // Theoretische Informatik, Rubrik: Geowissenschaften // Sonstiges, Seiten: 352, Informationen: Previously published in hardcover, Gewicht: 532 gr, Verkäufer: averdo Belletristik

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Artificial Neural Networks in Hydrology
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Artificial Neural Networks in Hydrology - pocketboek

2000, ISBN: 9048154219

gebonden uitgave, ID: 13446908

Artificial Neural Networks in Hydrology ab 199.99 EURO Water Science and Technology Library. Softcover reprint of hardcover 1st ed. 2000 Medien > Bücher

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Bijzonderheden over het boek
Artificial Neural Networks in Hydrology

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.

Gedetalleerde informatie over het boek. - Artificial Neural Networks in Hydrology


EAN (ISBN-13): 9789048154210
ISBN (ISBN-10): 9048154219
Gebonden uitgave
pocket book
Verschijningsjaar: 2010
Uitgever: Springer-Verlag/Sci-Tech/Trade
352 Bladzijden
Gewicht: 0,532 kg
Taal: eng/Englisch

Boek bevindt zich in het datenbestand sinds 2012-02-15T15:29:30+01:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2019-06-10T08:39:50+02:00 (Amsterdam)
ISBN/EAN: 9789048154210

ISBN - alternatieve schrijfwijzen:
90-481-5421-9, 978-90-481-5421-0


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