Multiple genetic programming: a new approach to improve genetic-based month ahead rainfall forecasts
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DOI: 10.1007/s10661-019-7991-1
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… read more here.
Keywords: genetic programming; multiple genetic; month ahead; model ... See more keywords
Evaluation of data-driven models (SVR and ANN) for groundwater-level prediction in confined and unconfined systems
Sign Up to like & getrecommendations! Published in 2019 at "Environmental Earth Sciences"
DOI: 10.1007/s12665-019-8474-y
Abstract: Modeling the behavior of groundwater levels is necessary to implement sustainable groundwater resource management. Groundwater is a non-linear and complex system, which can be modeled by data-driven models. This study evaluates the performances of data-driven… read more here.
Keywords: groundwater; driven models; unconfined systems; confined unconfined ... See more keywords