doi: 10.7763/IJIMT.2013.V4.383
Analysis of ANN-Based Modelling Approach for Industrial Systems
Hamid Asgari
,
XiaoQi Chen ,
Raazesh Sainudiin
- Department of Mechanical Engineering, University of Canterbury (UC), Christchurch, New Zealand.
Abstract
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.
Keywords
- Analysis
- modelling
- system identification
- artificial neural network
- industrial systems
How to Cite
Hamid Asgari, XiaoQi Chen, and Raazesh Sainudiin, "Analysis of ANN-Based Modelling Approach for Industrial Systems," International Journal of Innovation, Management and Technology, vol. 4, no. 1, pp. 165-169, 2013. https://doi.org/10.7763/IJIMT.2013.V4.383
Copyright & License
Copyright © 2013 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).