AN EXTREME LEARNING MACHINE AND GENE EXPRESSION PROGRAMMING-BASED HYBRID MODEL FOR DAILY PRECIPITATION PREDICTION

Accurate daily precipitation prediction is crucially important.However, it is difficult to predict the precipitation accurately due to inherently complex meteorological factors and dynamic behavior of weather.Recently, considerable attention has been devoted in soft computing-based prediction approaches.This work presents a scheme to reduce the ris

The aim of this work is to find out, through the analysis of the time and frequency domains, significant differences that lead us to obtain one or several variables that may result in an indicator that allows diagnosing the condition of the rotor in an induction motor from the processing of the stray flux signals.For this, the calculation of two in