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  • 标题:Stochastic Modeling Technology for Grain Crops Storage Application : Review
  • 本地全文:下载
  • 作者:Johevajile K. Mazima ; Agbinya Johnson ; Emmanuel Manasseh
  • 期刊名称:International Journal of Artificial Intelligence & Applications (IJAIA)
  • 印刷版ISSN:0976-2191
  • 电子版ISSN:0975-900X
  • 出版年度:2016
  • 卷号:7
  • 期号:6
  • 页码:27
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Stochastic modeling is a key technique in event prediction and forecasting applications. Recently,stochastic models such as the Artificial Neural Network, Hidden Markov, and Markov Chain have receiveda significant attention in agricultural application. These techniques are capable of predicting the actionsfor the better planning and management in various fields. This work comprehensively summarizes andcompares their applications such as their processing techniques, performance, as well as their strengthsand limitations with regard to event prediction and forecasting. The work ends with recommendations onthe appropriate techniques for cereal grain storage application.
  • 关键词:Grain storage condition; Hidden markov model; Artificial Neural Network; Markov chain & Forecasting
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