Email this article Forecasting of Potato Prices in Telangana using FFNN and Hybrid in Time Series Models
Abstract
This paper discussed for develop a forecasting models and predict the future prices of potatoes in Telangana. A historical potato data received from Agmart.com. The forecasted models have been determined from auto regressive integrated moving average (ARIMA) and Feed forward neural network (FFNN) and HYBRID for the monthly average prices of potato in Telangana. The performances of the forecasted models are estimated using the error measures like MAE (mean absolute error) and RMSE (root mean square error) and MAPE (Mean absolute percentage error). The result shows that, the HYBRID model performing better than the ARIMA and FFNN.
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