Modelagem da temperatura do ar em transecto urbano utilizando LSTM

CE Guarienti - 2020 - bdtd.ibict.br
In cities there is a process of storing heat during the day and returning that heat to the
atmosphere at night. Thus, it is necessary to understand how the temperature changes in
time and space to provide information for decision making. Therefore, this research aimed to
predict the temperature of the use of the Recurrent Neural Network, type LSTM (Long-Short
Term Memory). Used as input data for the Neural Network, environmental and soil cover
variables, collected in the night mobile project in the city of Cuiabá-MT, in the year 2011 and …

[引用][C] Modelagem da temperatura do ar em transecto urbano utilizando LSTM

RSR Gomes, JM Figueiredo, AG Bonfante, CR Musis… - Universidade Federal de Mato …
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