A Comparative Study of Neural-Network & Fuzzy Time Series Forecasting Techniques – Case Study: Wheat Production Forecasting
نویسندگان
چکیده
Summery Various forecasting methods have been developed on the basis of fuzzy time series data, but accuracy has been matter of concern in these forecasts. As in fuzzy time series methods forecasted values depend to some degree on our interpretation of the output of the forecasting model thus different interpretation may lead to different results, this makes the process quite subjective. An objective method, based on artificial neural network of forecasting is proposed .The proposed method is compared with various fuzzy time series forecasting methods.
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