Environment humidity and temperature prediction in agriculture using Mamdani inference systems

This paper presents the results of a humidity and temperature prediction model in the environment for agriculture, using diffuse sets and optimizing their parameters by heuristic methods, such as genetic algorithms, and exact methods such as Quasi-Newton. It has been identified that non-specialized...

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Veröffentlicht in:International journal of electrical and computer engineering (Malacca, Malacca) Jg. 11; H. 4; S. 3502
Hauptverfasser: Velandia, Julio Barón, Capera Quintana, Jonathan Steven, Vanegas Ayala, Sebastian Camilo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Yogyakarta IAES Institute of Advanced Engineering and Science 01.08.2021
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ISSN:2088-8708, 2722-2578, 2088-8708
Online-Zugang:Volltext
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