Machine learning meets individual-based modelling: Self-organising feature maps for the analysis of below-ground competition among plants

Ecological Modelling

Volumn 326, Issue , 2016, Pages 142-151

  Peters, Ronny ^a   Lin, Yue ^b   Berger, Uta ^a  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^b NORTHWEST UNIVERSITY   (China)

Author keywords

Artificial neural networks; Inverse modelling; Pattern recognition; Pattern oriented modelling; Pi model; Plant plant interactions

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS; NEURAL NETWORKS; PATTERN RECOGNITION; POPULATION STATISTICS;

CORRELATION PATTERNS; INDIVIDUAL BASED MODEL; INDIVIDUAL-BASED MODELLING; INVERSE MODELLING; NON-LINEAR RELATIONSHIPS; PATTERN-ORIENTED MODELLING; PI MODELS; PLANT INTERACTIONS;

UNCERTAINTY ANALYSIS;

ABIOTIC FACTOR; ARTIFICIAL NEURAL NETWORK; COMPETITION (ECOLOGY); CORRELATION; ECOLOGICAL MODELING; INDIVIDUAL-BASED MODEL; INFORMATION; INTRASPECIFIC INTERACTION; INVERSE ANALYSIS; LIMITING FACTOR; MAP; PATTERN RECOGNITION; PLANT COMMUNITY; UNCERTAINTY ANALYSIS;

EID: 84961138678     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2015.10.014     Document Type: Article

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