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EnglishThis paper describes an application of artificiai neural networks (ANNs) to the prediction of Iocai Iosses 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 internai 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 tbe test emitter models studied. Emitter data with Iow reliability were removed from the processo Performance indexes over 80% were obtained for the remaining test emitters.
MARTÌ PEREZ, P., Provenzano, G., ROYUELA TOMÀS, A., & PALAU SALVADOR, G. (2010). Integrated emitter local loss prediction using artificial neural networks. JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 136(1), 11-22 [10.1061/(ASCE)IR.1943-4774.0000125].
| Data di pubblicazione: | 2010 | |
| Titolo: | Integrated emitter local loss prediction using artificial neural networks. | |
| Autori: | ||
| Citazione: | MARTÌ PEREZ, P., Provenzano, G., ROYUELA TOMÀS, A., & PALAU SALVADOR, G. (2010). Integrated emitter local loss prediction using artificial neural networks. JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 136(1), 11-22 [10.1061/(ASCE)IR.1943-4774.0000125]. | |
| Rivista: | ||
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1061/(ASCE)IR.1943-4774.0000125 | |
| Abstract: | This paper describes an application of artificiai neural networks (ANNs) to the prediction of Iocai Iosses 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 internai 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 tbe test emitter models studied. Emitter data with Iow reliability were removed from the processo Performance indexes over 80% were obtained for the remaining test emitters. | |
| Settore Scientifico Disciplinare: | Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali | |
| Appare nelle tipologie: | 1.01 Articolo in rivista |
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http://hdl.handle.net/10447/53818
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