Artificial neural networks as an alternative to the traditional statistical methodology in plant research

Journal of Plant Physiology

Volumn 167, Issue 1, 2010, Pages 23-27

  Gago, J ^a   Martinez Nunez L ^a   Landin M ^b   Gallego, P P ^a  

^a UNIVERSITY OF VIGO   (Spain)

^b UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

Author keywords

Actinidia deliciosa; ANNs; Artificial intelligence; Kiwifruit; Plant tissue culture

Indexed keywords

SUCROSE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL PROLIFERATION; COMPUTER PROGRAM; CULTURE MEDIUM; CYTOLOGY; DRUG EFFECT; KIWIFRUIT; LIGHT; PHYSIOLOGY; PLANT; RADIATION EXPOSURE; REPRODUCIBILITY; RESEARCH; STATISTICAL MODEL; STATISTICS;

ACTINIDIA; CELL PROLIFERATION; CULTURE MEDIA; LIGHT; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); PLANT SHOOTS; REPRODUCIBILITY OF RESULTS; RESEARCH; SOFTWARE; SUCROSE;

ACTINIDIA DELICIOSA;

EID: 70450222327     PISSN: 01761617     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jplph.2009.07.007     Document Type: Article

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