Improved irrigation water demand forecasting using a soft-computing hybrid model

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Improved irrigation water demand forecasting using a soft-computing hybrid model is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1016/J.BIOSYSTEMSENG.2008.09.032

P2093author name stringInmaculada Pulido-Calvo
Juan Carlos Gutiérrez-Estrada
P2860cites workStream hydrological and ecological responses to climate change assessed with an artificial neural networkQ58391945
P433issue2
P304page(s)202-218
P577publication date2009-02-01
P1433published inBiosystems EngineeringQ1895843
P1476titleImproved irrigation water demand forecasting using a soft-computing hybrid model
P478volume102

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cites work (P2860)
Q41196826A comparison of various artificial intelligence approaches performance for estimating suspended sediment load of river systems: a case study in United States.
Q48080946Artificial intelligence modeling to evaluate field performance of photocatalytic asphalt pavement for ambient air purification
Q57549654Computing Air Demand Using the Takagi–Sugeno Model for Dam Outlets
Q56913499ESTIMATING WATER DEMAND AT IRRIGATION SCHEME SCALES USING VARIOUS LEVELS OF KNOWLEDGE: APPLICATIONS IN NORTHERN TUNISIA
Q57924243Heuristic Modelling of the Water Resources Management in the Guadalquivir River Basin, Southern Spain
Q38674365Water demand forecasting: review of soft computing methods

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