Forecast of off-season longan supply using fuzzy support vector regression and fuzzy artificial neural network
NN and SVR were discussed and proposed for forecasting of off-season longan supply. Reducing NN and SVR proposed for improving computational runtime. NN and SVR forecasting models were extended by fuzzy algorithms. Totally, six proposed models were compared in term of their efficiency. Multi regression was compared and over fitting was verified.
fuzzy support vector regression support vector regression longan supply forecasting fuzzy neural network