A neural network approach to identify forest stands susceptible to wind damage

Forest Ecology and Management

Volumn 196, Issue 2-3, 2004, Pages 227-243

  Hanewinkel, Marc ^a   Zhou, Wenchao ^b   Schill, Christian ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

^b SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

Author keywords

Backpropagation; Dichotomous model; Logistic regression model; Multinomial model; Risk management

Indexed keywords

ALGORITHMS; ECOLOGY; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; STATISTICS;

FEED-FORWARD NETWORKS; FLAT SPOT ELIMINATION;

FORESTRY;

ARTIFICIAL NEURAL NETWORK; DAMAGE; FOREST ECOSYSTEM; RISK ASSESSMENT; WIND;

EID: 3042725464     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2004.02.056     Document Type: Article

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