Modeling winter wheat response to water in North China with feed-forward neural networks

The model of crop response to water describes the quantitative relationship between crop yield and water input, and is essential for the rational regulation of field water regime and the improvement of water use efficiency. A multi-layer feed-forward neural network (MFNN) was used to simulate the cr...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Songhao Shang, Yuanli Wei
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks back propagation algorithm Calibration genetic algorithms Irrigation model of crop response to water Stress Testing Training winter wheat
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!