Diarrhoea outpatient visits prediction based on time series decomposition and multi-local predictor fusion
A EEMDANGRNN algorithm is proposed for diarrhoea outpatient visits prediction. Predictor based on decomposition-and-ensemble principle superior to single predictor. GRNN is a good candidate as predictor for diarrhoea outpatient visits prediction. EEMDAN is superior to EMD and Wavelet for diarrhoea outpatient visits time series.
diarrhoea outpatient visits time series decomposition prediction model ensemble empirical mode decomposition generalized regression neural networks multi-predictor fusion