Applications of Artificial Neural Networks in Multi-Criteria Decision-Making in Civil Engineering

Authors

  • Ljubo Marković Faculty of Technical Science, University of Pristina, temporary settled in Kosovska Mitrovica, Serbia Author
  • Ljiljana Milić Marković University of Banja Luka, Faculty of Architecture, Civil Engineering and Geodesy, Serbia Author
  • Nikola Gvozdović University of Kosovska Mitrovica, Serbia Author

Keywords:

Multi-criteria decision making, Hopfield networks, Auto-associative memory

Abstract

The paper deals with the multi-criteria decision making using Hopfield network which belongs to a class of artificial neural networks. The general procedure has been defined based on the application of Hopfield network. By using the model based on Hopfield auto-associative memory, the defined procedure has been applied for solving a specific problem, which is to select the best variant solution of the route of gas trunk line.

 

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References

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Published

2022-06-30

How to Cite

Applications of Artificial Neural Networks in Multi-Criteria Decision-Making in Civil Engineering. (2022). Operations Research and Engineering Letters, 1(1), 29-35. http://orel.unionnikolatesla.edu.rs/index.php/eemr/article/view/17