Applications of computational intelligence to mechanical engineering

Nicola Pio Belfiore, I. Rudas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Most of the methods and tools of Computational Intelligence (CI), such as Artificial Neural Networks, Evolutionary Computation, Fuzzy logic, Computational Swarm Intelligence and Artificial Immune Systems, have been developed for decades. However, their applications are not disseminated as exhaustively as they could be, for many reasons. In this work, a survey on some applications of Computational Intelligence to Mechanical Engineering will be presented. This review has been based on statistical analysis of a large amount of data extracted from major bibliographic databases. This analysis provides a quantitative map of the variety of CI methods and tools and their applications to some fields of Mechanical Engineering. The results will suggest to researchers some important topics of Mechanical Engineering where CI has great potential and may improve its impact.

Original languageEnglish
Title of host publicationCINTI 2014 - 15th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages351-368
Number of pages18
ISBN (Electronic)9781479953387
DOIs
Publication statusPublished - Jan 30 2014
Event15th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2014 - Budapest, Hungary
Duration: Nov 19 2014Nov 21 2014

Other

Other15th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2014
CountryHungary
CityBudapest
Period11/19/1411/21/14

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Information Systems

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    Belfiore, N. P., & Rudas, I. (2014). Applications of computational intelligence to mechanical engineering. In CINTI 2014 - 15th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings (pp. 351-368). [7028702] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CINTI.2014.7028702