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
  • Ljiljana Milić Marković University of Banja Luka, Faculty of Architecture, Civil Engineering and Geodesy, Serbia
  • Nikola Gvozdović University of Kosovska Mitrovica, Serbia

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.

References

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Published

2022-03-22

How to Cite

Marković , L. ., Marković , L. M. ., & Gvozdović, N. . (2022). Applications of Artificial Neural Networks in Multi-Criteria Decision-Making in Civil Engineering. Operations Research and Engineering Letters, 1(1), 29–35. Retrieved from http://orel.unionnikolatesla.edu.rs/index.php/orel/article/view/6

Issue

Vol. 1 No. 1 (2022): Operations Research and Engineering Letters

Section

Articles

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Copyright (c) 2022 Ljubo Marković , Ljiljana Milić Marković , Nikola Gvozdović

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.