Special issue : Computational intelligence models for image processing and information reasoning Lim, Chee Peng, Abeynayake, Canicious, Sato-Ilic, Mika and Jain, Lakhmi C. 2013, Special issue : Computational intelligence models for image processing and information reasoning, Journal of intelligent and fuzzy systems, vol. 24, no. 2, pp. 199-200, doi: 10.3233/IFS-2012-0546. Attached Files Name Description MIMEType Size Downloads Title Special issue : Computational intelligence models for image processing and information reasoning Author(s) Lim, Chee Peng orcid.org/0000-0003-4191-9083 Abeynayake, Canicious Sato-Ilic, Mika Jain, Lakhmi C. Journal name Journal of intelligent and fuzzy systems Volume number 24 Issue number 2 Start page 199 End page 200 Total pages 2 Publisher IOS Press Place of publication Amsterdam, The Netherlands Publication date 2013 ISSN 1064-1246 1875-8967 Keyword(s) Bayesian Belief Network computational Intelligence fuzzy models image processing information reasoning membrane computing Summary Computational Intelligence (CI) models comprise robust computing methodologies with a high level of machine learning quotient. CI models, in general, are useful for designing computerized intelligent systems/machines that possess useful characteristics mimicking human behaviors and capabilities in solving complex tasks, e.g., learning, adaptation, and evolution. Examples of some popular CI models include fuzzy systems, artificial neural networks, evolutionary algorithms, multi-agent systems, decision trees, rough set theory, knowledge-based systems, and hybrid of these models. This special issue highlights how different computational intelligence models, coupled with other complementary techniques, can be used to handle problems encountered in image processing and information reasoning. Language eng DOI 10.3233/IFS-2012-0546 Field of Research 080108 Neural, Evolutionary and Fuzzy Computation Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category C4 Letter or note Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30055292 Document type: Journal Article Collections: Institute for Intelligent Systems Research and Innovation (IISRI) Open Access Collection GTP Research Related Links Link Description Link to full-text (open access)   Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Tue, 27 Aug 2013, 11:53:51 EST Wed, 28 Aug 2013, 14:38:53 EST Fri, 13 Jun 2014, 18:01:11 EST Wed, 18 Nov 2015, 07:31:34 EST Sun, 28 Mar 2021, 20:35:21 EST Filtered Full Citation counts:   Cited 2 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 79 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Tue, 27 Aug 2013, 11:53:51 EST

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