ARTIFICIAL NEURAL NETWORK MODELING FOR REFORESTATION DESIGN THROUGH THE DOMINANT TREES BOLE‐VOLUME ESTIMATION

DOI10.1111/J.1939-7445.2009.00051.XzbMath1181.92082OpenAlexW1986667872MaRDI QIDQ3653134

Dimitrios Doganos, Maria J. Diamantopoulou, Elias Milios, Ioannis Bistinas

Publication date: 18 December 2009

Published in: Natural Resource Modeling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1939-7445.2009.00051.x

zbMATH Keywords

artificial neural networksforest ecosystemoptimal management designPinus brutiareforestations

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural networks for/in biological studies, artificial life and related topics (92B20) Ecology (92D40)

Uses Software

• SPSS
• Excel
• Neural Network Toolbox
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Cites Work

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• Unnamed Item
• Unnamed Item
• Extended Kalman filter training of neural networks on a SIMD parallel machine
• MODELING THE SPATIAL DISTRIBUTION OF MINERAL DEPOSITS USING NEURAL NETWORKS
• Applied regression analysis bibliography update 1994-97
• A logical calculus of the ideas immanent in nervous activity

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