Back to Search
Start Over
Integrated Emitter Local Loss Prediction Using Artificial Neural Networks.
- Source :
-
Journal of Irrigation & Drainage Engineering . Jan2010, Vol. 136 Issue 1, p11-22. 12p. 10 Charts, 9 Graphs. - Publication Year :
- 2010
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ARTIFICIAL neural networks
*PIPE
*REGRESSION analysis
*INDEXES
*MICROIRRIGATION
Subjects
Details
- Language :
- English
- ISSN :
- 07339437
- Volume :
- 136
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Journal of Irrigation & Drainage Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 47085908
- Full Text :
- https://doi.org/10.1061/(ASCE)IR.1943-4774.0000125