Use of an ANFIS Network for Relative Humidity Behaviour Modelling on the South Region of Jalisco, México
Marco Gamboa, Marco Antonio Luengo Castro, Francisco Herrera · Research in Computing Science · 2005
This paper describes the application of an adaptive network using a neuro-fuzzy inference system called ANFIS for the identification of a relative humidity prognosis model on the south region of the state of Jalisco, Mexico. The algorithm uses measurements obtained from meteorological stations as input-output signals and human expert’s considerations on an if-then fuzzy knowledge base. The obtained model represents the system’s dynamics. Figures showing the obtained model are presented