Evaluation of machine learning tools as a statistical downscaling tool : temperatures projections for multi-stations for Thames River Basin, Canada
Many impact studies require climate change information at a finer resolution than that provided by global climate models (GCMs). This paper investigates the performances of existing state-of-the-art rule induction and tree algorithms, namely single conjunctive rule learner, decision table, M5 model...
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格式: | Article |
語言: | English |
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2013
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在線閱讀: | https://hdl.handle.net/10356/97526 http://hdl.handle.net/10220/11866 |
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