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Research Areas : Evolutionary Swarm Robotics x Output Type : Journal Article x School : School of Computing x Research Areas : Optimisation and learning x Library Of Congress : QA76 Computer software x
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 Centre for Algorithms, Visualisation and Evolving Systems (1)

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 School of Computing (1)

Research Areas

 Evolutionary Swarm Robotics (1)
 Optimisation and learning (1)

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 AI and Technologies (1)

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 Emma Hart (1)
 Kevin Sim (1)

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 Journal Article (1)

Download Available

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Library Of Congress

 QA76 Computer software (1)

Dewey Decimal

 0063 Artificial intelligence (1)
Research Areas : Evolutionary Swarm Robotics x Output Type : Journal Article x School : School of Computing x Research Areas : Optimisation and learning x Library Of Congress : QA76 Computer software x
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Use of machine learning techniques to model wind damage to forests

Journal Article
Hart, E., Sim, K., Kamimura, K., Meredieu, C., Guyon, D., & Gardiner, B. (2019)
Use of machine learning techniques to model wind damage to forests. Agricultural and forest meteorology, 265, 16-29. https://doi.org/10.1016/j.agrformet.2018.10.022
This paper tested the ability of machine learning techniques, namely artificial neural networks and random forests, to predict the individual trees within a forest most at r...

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