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OverviewThe 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. Full Product DetailsAuthor: R.S. Govindaraju , A.R. RaoPublisher: Springer Imprint: Springer Edition: Softcover reprint of hardcover 1st ed. 2000 Volume: 36 Dimensions: Width: 16.00cm , Height: 1.80cm , Length: 24.00cm Weight: 0.606kg ISBN: 9789048154210ISBN 10: 9048154219 Pages: 332 Publication Date: 07 December 2010 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Out of stock  The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsReviews'The book can be recommended as an important (but not the only) source of information on applications of artificial neural networks to hydrological problems. It would be useful for graduate students, researchers and hyrologists.' World Meteorological Organization Bulletin, 50:3 (2001) Author InformationTab Content 6Author Website:Countries AvailableAll regions |
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