Research Catalog

Title

Artificial neural networks in water supply engineering / sponsored by Water Supply Engineering Technical Committee, Infrastructure Council, Environmental and Water Resources Institute (EWRI) of the American Society of Civil Engineers ; edited by Srinivasa Lingireddy, Gail M. Brion.

Publication

Reston, Va. : American Society of Civil Engineers, [2005], ©2005.

Items in the Library & Off-site

Holdings

Details

Additional Authors

• Lingireddy, Srinivasa.
• Brion, Gail M. (Gail Montgomery)
• Environmental and Water Resources Institute (U.S.)

Description

xvii, 173 pages : illustrations; 21 cm

Summary

"Artificial Neural Network (ANN) technology is rarely used in water supply engineering. Those who have applied this technology for water supply engineering problems have reported findings that were beyond the capability of traditional statistical/mathematical modeling tools. The purpose of this task committee report is to compile the experiences of those who have successfully applied ANNs for water supply engineering problems and to reduce the perceived mystery of the ANN models. The availability of several diverse applications, along with the basics of neural network modeling, in a concise report are expected to encourage the use of this powerful technology."--BOOK JACKET.

Subject

• Water-supply engineering > Data processing
• Neural networks (Computer science)

Bibliography (note)

• Includes bibliographical references and index.

Contents

1. Artificial neural networks in water supply engineering / Srinivasa Lingireddy and Gail M. Brion -- 2. Artificial neural networks : an overview / T. R. Neelakantan -- 3. Unfolding the functional relationships employed by ANNs / Chandramouli Viswanathan -- 4. Back-propagation training algorithm / T. R. Neelakantan -- 5. Network pruning algorithms / T. R. Neelakantan -- 6. Bump elimination method of training an artificial neural network / Arcadio Pacquiao Sincero, Sr. -- 7. Forecasting cyanobacteria (blue-green algae) using artificial neural networks / Gavin Bowden, Graeme Dandy and Holger Maier -- 8. pH modelling by ANN in the eutrophic Middle Loire River / Florentina Moatar -- 9. Use of artificial neural networks to forecast salinity in rivers / Graeme Dandy, Gavin Bowden and Holger Maier -- 10. Predicting gastroenteritis rates and detecting waterborne outbreaks / James F. Black -- 11. Efficient handling of microbial data using artificial neural networks / Srinivasa Lingireddy and Gail M. Brion -- 12. ANNs as function approximation tools / Srinivasa Lingireddy, Dhandayudha Pani Ramalingam and Joseph Pavoni.

ISBN

0784407657

LCCN

2005277814

OCLC

• ocm60754554
• SCSB-5204180

Owning Institutions

Columbia University Libraries