Artificial selection for genetic adaptation to temperature extremes inAphytis lingnanensisCompere (Hymenoptera: Aphelinidae)
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A genetic algorithm to refine input data selection for air temperature prediction using artificial neural networks
The accurate prediction of air temperature is important in many areas of decision-making including agricultural management, transportation and energy management. Previous research has focused on the development of artificial neural network (ANN) models to predict air temperature from one to twelve hours in advance. The inputs to these models included a constant duration of prior data with a fix...
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ژورنال
عنوان ژورنال: Hilgardia
سال: 1970
ISSN: 0073-2230
DOI: 10.3733/hilg.v40n06p161