Testing the generalization of artificial neural networks with cross-validation and independent-validation in modelling rice tillering dynamics

Ecological Modelling

Volumn 181, Issue 4, 2005, Pages 493-508

  Mi, Xiangcheng ^a   Zou, Yingbin ^b   Wei, Wei ^a   Ma, Keping ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b HUNAN AGRICULTURAL UNIVERSITY   (China)

Author keywords

Generalization ability; Model validation; Neural networks; Rice modelling; Tillering dynamics

Indexed keywords

EMPIRICAL MODELS; SET SIZE; TILLERING DYNAMICS; TRAINING DATA;

AGRICULTURE; COMPUTER SIMULATION; ECOLOGY; EXTRAPOLATION; PRINCIPAL COMPONENT ANALYSIS; SET THEORY; VECTORS;

NEURAL NETWORKS;

AGRICULTURAL MODELING; ARTIFICIAL NEURAL NETWORK; ECOLOGICAL MODELING; MODEL VALIDATION; RICE; TILLERING;

AGRICULTURE; ECOLOGY; NEURAL NETWORKS; RICE; SET; SIMULATION;

EID: 8844276108     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2004.06.035     Document Type: Article

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