Hybrid Genetic Algorithm−Based BP Neural Network Models Optimize Estimation Performance of Reference Crop Evapotranspiration in China

Hybrid Genetic Algorithm−Based BP Neural Network Models Optimize Estimation Performance of Reference Crop Evapotranspiration in China

Precise estimation of reference evapotranspiration (ET<sub>0</sub>) is of significant importance in hydrologic processes. In this study, a genetic algorithm (GA) optimized back propagation (BP) neural network model was developed to estimate ET<sub>0</sub> using different comb...

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Bibliographic Details
Main Authors: Anzhen Qin, Zhilong Fan, Liuzeng Zhang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
BP models
climatic zones
model performance
multi−layer perceptron
seasons
Online Access:https://www.mdpi.com/2076-3417/12/20/10689

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