Abstract
Artificial intelligence methods namely artificial neural network, fuzzy logic, and neuro-fuzzy have been effectively utilized in different applications like business, marketing, control engendering, health care, and social services. To demonstrate the usage of fuzzy set theory, artificial neural network, as well as neuro-fuzzy in industrial engineering and also for providing a basis for future investigation, a literature review of the artificial neural network, fuzzy logic, and neuro-fuzzy in industrial engineering is conducted in this paper.
Original language | English |
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Title of host publication | Industrial and Robotic Systems |
Subtitle of host publication | LASIRS 2019 |
Editors | E. Hernandez, S. Keshtkar , S. Valdez |
Publisher | Springer |
Pages | 9-14 |
Number of pages | 6 |
ISBN (Electronic) | 978-3-030-45402-9 |
ISBN (Print) | 978-3-030-45401-2 |
DOIs | |
Publication status | Published - 14 May 2020 |
Event | Latin American Symposium on Industrial and Robotic Systems - Tampico, Mexico Duration: 30 Sept 2019 → 30 Sept 2019 https://link.springer.com/conference/lasirs |
Publication series
Name | Mechanisms and Machine Science |
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Publisher | Springer |
Volume | 86 |
ISSN (Print) | 2211-0984 |
Conference
Conference | Latin American Symposium on Industrial and Robotic Systems |
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Abbreviated title | LASIRS 2019 |
Country/Territory | Mexico |
City | Tampico |
Period | 30/09/19 → 30/09/19 |
Internet address |
Keywords
- fuzzy logic
- artifical neural network
- neuro-fuzzy
- industrial engineering