An Estimation of the Discharge Exponent of a Drip Irrigation Emitter by Response Surface Methodology and Machine Learning

An Estimation of the Discharge Exponent of a Drip Irrigation Emitter by Response Surface Methodology and Machine Learning

The discharge exponent is a general index used to evaluate the hydraulic performance of emitters, which is affected by emitters’ structural parameters. Accurately estimating the effect of change in structural parameters on the discharge exponent is critical for the design and optimization of emitter...

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Bibliographic Details
Main Authors: Chen, X. (Author), He, K. (Author), Wei, Z. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
artificial neural network
drip irrigation
error correction
estimation method
hydraulic performance
Hydraulic performance
instrumentation
Irrigation
labyrinth channel emitter
Labyrinth channel emitter
Labyrinth channels
machine learning
Machine learning
Mean absolute error
Mean square error
Neural networks
parameter estimation
response surface methodology
Response-surface methodology
Root mean square errors
Structural parameter
support vector machine
support vector regression
Support vector regression models
Support vector regressions
Surface properties
Tooth heights
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