Integrated Emitter Local Loss Prediction Using Artificial Neural Networks
Publication: Journal of Irrigation and Drainage Engineering
Volume 136, Issue 1
Abstract
This paper describes an application of artificial neural networks (ANNs) to the prediction of local losses from integrated emitters. First, the optimum input-output combination was determined. Then, the mapping capability of ANNs and regression models was compared. Afterwards, a five-input ANN model, which considers pipe and emitter internal diameter, emitter length, emitter spacing, and pipe discharge, was used to develop a local losses predicting tool which was obtained from different training strategies while taking into account a completely independent test set. Finally, a performance index was evaluated for the test emitter models studied. Emitter data with low reliability were removed from the process. Performance indexes over 80% were obtained for the remaining test emitters.
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Information
Published In
Journal of Irrigation and Drainage Engineering
Volume 136 • Issue 1 • January 2010
Pages: 11 - 22
Copyright
© 2010 ASCE.
History
Received: Jun 10, 2008
Accepted: May 31, 2009
Published online: Jun 1, 2009
Published in print: Jan 2010
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