Analysis of ANN - Based Modelling Approach for Industrial Systems

نویسندگان

  • Bernard Widrow
  • Hamid Asgari
  • XiaoQi Chen
  • Raazesh Sainudiin
چکیده

A variety of analytical and experimental methods have been suggested so far for industrial system modelling. However, the need for optimized models for different objectives and applications is still a strong motivation for researchers to continue to work in this field. Artificial Neural Network (ANN) as a black-box approach has been playing a significant role in system identification and modelling of many industrial systems during recent decades. Using ANN for modelling purposes is a controversial issue among researchers in different scientific areas. This paper briefly discusses different arising challenges in using ANN-based models for industrial systems and describes advantages and disadvantages of this approach.

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تاریخ انتشار 2012