Machine learning meets individual-based modelling: Self-organising feature maps for the analysis of below-ground competition among plants
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- 作者：Ronny Petersa ; ronny.peters@tu-dresden.de" class="auth_mail" title="E-mail the corresponding author ; Yue Linb ; Uta Bergera
- 关键词：Pattern recognition ; Pi model ; Plant&ndash ; plant interactions ; Pattern-oriented modelling ; Inverse modelling ; Artificial neural networks
- 刊名：Ecological Modelling
- 出版年：2016
- 出版时间：24 April 2016
- 年：2016
- 卷：326
- 期：Complete
- 页码：142-151
- 全文大小：1616 K
文摘
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Combination of IBM (plant interaction model) with self-organising feature maps (SOM).
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SOM to visualise multidimensional correlation patterns between model inputs and outputs.
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Predicting IBM assumptions from emerging population properties.
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Predicting IBM assumptions with incomplete input information.