Abstract
This paper presents a review on application of Artificial Neural Network and Fuzzy Logic in process modeling and control. The intelligent control techniques are rapidly replacing the conventional control due to their abilities like learning, function approximation, associative memory, prediction, combinatorial optimization and non-linear system modeling etc. In this paper, research work done in process modeling and control using conventional techniques, Artificial Neural Networks, Fuzzy Logic and Neuro-Fuzzy paradigms is discussed. For each control methodology its corresponding limitations are also presented. An outline of recent alternative approaches for process modeling and control are also included.
Original language | English |
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Title of host publication | Computational Intelligence and Information Technology |
Subtitle of host publication | First International Conference, CIIT 2011, Pune, India, November 2011 Proceedings |
Place of Publication | Berlin, Heidelberg |
Publisher | Springer |
Pages | 808-810 |
Number of pages | 3 |
ISBN (Electronic) | 9783642257346 |
ISBN (Print) | 9783642257339 |
DOIs | |
Publication status | Published - Nov 2011 |
Event | International Conference on Computational Intelligence and Information Technology, CIIT 2011 - Pune, India Duration: 7 Nov 2011 → 8 Nov 2011 http://ciit.theides.org/2011/ (Link to conference information) |
Publication series
Name | Communications in Computer and Information Science (CCIS) |
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Volume | 250 |
ISSN (Print) | 1865-0929 |
Conference
Conference | International Conference on Computational Intelligence and Information Technology, CIIT 2011 |
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Abbreviated title | CIIT 2011 |
Country/Territory | India |
City | Pune |
Period | 7/11/11 → 8/11/11 |
Internet address |
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Keywords
- Artificial-Neural-Networks
- Fuzzy-Logic
- Neuro-Fuzzy-Systems
ASJC Scopus subject areas
- General Computer Science