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Multiple genetic programming: a new approach to improve genetic-based month ahead rainfall forecasts

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Date
2020
Author
Danandeh Mehr, A.
Safari, M.J.S.
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Abstract
It is well documented that standalone machine learning methods are not suitable for rainfall forecasting in long lead-time horizons. The task is more difficult in arid and semiarid regions. Addressing these issues, the present paper introduces a hybrid ma
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076389966&doi=10.1007%2fs10661-019-7991-1&partnerID=40&md5=fe358773b370d2a3b26707fe051fe2ca
https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/9727
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  • Scopus İndeksli Yayınlar Koleksiyonu





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