A Hybrid Neural Network and H-P Filter Model for Short-Term Vegetable Price Forecasting

Table 7

A comparison of the accuracy of the three methods in forecasting the prices of the five vegetables.

Model	Cabbages		Peppers		Cucumbers		Green beans		Tomatoes
	RMSE	MAE	RMSE	MAE	RMSE	MAE	RMSE	MAE	RMSE	MAE
Autoregressive integrated moving average (ARIMA)	0.33	0.11	1.07	1.15	0.66	0.44	0.62	0.39	0.77	0.6
Artificial neural networks (ANN)	0.24	0.21	0.88	0.67	1.12	0.90	0.73	0.55	0.89	0.79
Proposed model	0.19	0.15	0.79	0.37	0.51	0.34	0.46	0.38	0.42	0.37