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  • 标题:A Comparative Study of Neural-Network & Fuzzy Time Series Forecasting Techniques ? Case Study: Wheat Production Forecasting
  • 作者:Adesh Kumar Pandey ; A.K Sinha ; V.K Srivastava
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2008
  • 卷号:8
  • 期号:9
  • 页码:382-387
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要: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.
  • 关键词:Agriculture Production; Forecasting; Fuzzy time series; Neural Network
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