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PERFORMANCE OF FUZZY INFERENCE SYSTEMS TO PREDICT THE SURFACE TEMPERATURE OF BROILER CHICKENS
Provedor de dados: 70
Autores: Bahuti,Marcelo; Abreu,Lucas H. P.; Yanagi Junior,Tadayuki; Lima,Renato R. de; Campos,Alessandro T.
ABSTRACT This study aimed to compare fuzzy systems with different configurations to predict the surface temperature (ts) of broiler chickens subjected to different intensities and durations of thermal challenges in the second week of life. Data on the ts of broiler chickens aged 8 to 11 days were acquired by infrared thermography and subjected to combinations of four dry-bulb temperatures (tdb) (24, 27, 30, and 33 °C) and four durations of thermal challenges (DTC) (1, 2, 3, or 4 days). The input variables of the fuzzy systems were tdb and DTC, and the output variable was ts. The Mamdani inference method involving five defuzzification methods [center of gravity (centroid), bisector of the area (bisector), largest of maximum (lom), middle of maximum (mom),...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Pertinence functions; Fuzzy logic; Defuzzification methods; Fuzzy inference methods; Chicks; Infrared thermography.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000600813