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Adaptive Neural Networks in Regulation of River Flows

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Artificial Neural Networks in Hydrology

Part of the book series: Water Science and Technology Library ((WSTL,volume 36))

Abstract

The demand for water is growing as a result of population growth, competition from agricultural and industrial sectors, global warming, and pollution of water resources. Judicious utilization and conservation of the available water resources is of paramount importance in order to meet the growing demand for water. One of the ways to conserve water is to estimate the water demand accurately, and provide just the right quantity of water to the users, i.e. match supply with demand as closely as possible.

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Author information

Authors and Affiliations

  1. Department of Civil Engineering, Colorado State University, Fort Collins, Colorado, 80523, USA

    J. Mohan Reddy

  2. Department of Electrical Engineering, University of Wyoming, Laramie, WY, 82071, USA

    Bogdan M. Wilamowski

Authors
  1. J. Mohan Reddy
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  2. Bogdan M. Wilamowski
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Editor information

Editors and Affiliations

  1. Purdue University, West Lafayette, Indiana, USA

    R. S. Govindaraju  & A. Ramachandra Rao  & 

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© 2000 Springer Science+Business Media Dordrecht

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Reddy, J.M., Wilamowski, B.M. (2000). Adaptive Neural Networks in Regulation of River Flows. In: Govindaraju, R.S., Rao, A.R. (eds) Artificial Neural Networks in Hydrology. Water Science and Technology Library, vol 36. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9341-0_9

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  • DOI: https://doi.org/10.1007/978-94-015-9341-0_9

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-5421-0

  • Online ISBN: 978-94-015-9341-0

  • eBook Packages: Springer Book Archive

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