Application of the Fuzzy Min-Max neural networks to medical diagnosis Quteishat, A and Lim, Chee Peng 2008, Application of the Fuzzy Min-Max neural networks to medical diagnosis, in KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 3, PROCEEDINGS, SPRINGER-VERLAG BERLIN, Berlin, Germany, pp. 548-555, doi: 10.1007/978-3-540-85567-5_68. Attached Files Name Description MIMEType Size Downloads Title Application of the Fuzzy Min-Max neural networks to medical diagnosis Author(s) Quteishat, A Lim, Chee Peng orcid.org/0000-0003-4191-9083 Conference name 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems Conference location Zagreb, CROATIA Conference dates 2008/09/03 - 2008/09/05 Title of proceedings KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 3, PROCEEDINGS Editor(s) Lovrek, I Howlett, RJ Jain, LC Publication date 2008 Series LECTURE NOTES IN ARTIFICIAL INTELLIGENCE Start page 548 End page 555 Total pages 8 Publisher SPRINGER-VERLAG BERLIN Place of publication Berlin, Germany Keyword(s) Science & Technology Technology Computer Science, Artificial Intelligence Computer Science, Information Systems Computer Science CLASSIFICATION ISBN 978-3-540-85566-8 ISSN 0302-9743 Language eng DOI 10.1007/978-3-540-85567-5_68 Field of Research 08 Information And Computing Sciences HERDC Research category EN.1 Other conference paper Persistent URL http://hdl.handle.net/10536/DRO/DU:30099609 Document type: Conference Paper Collection: Centre for Intelligent Systems Research Related Links Link Description Connect to published version 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. Versions Version Filter Type Wed, 26 Jul 2017, 12:09:36 EST Thu, 27 Jul 2017, 05:10:51 EST Thu, 27 Jul 2017, 08:23:37 EST Thu, 21 Sep 2017, 06:23:38 EST Sat, 21 Oct 2017, 02:04:24 EST Wed, 23 May 2018, 14:18:11 EST Wed, 23 May 2018, 14:20:33 EST Filtered Full Citation counts:   Cited 4 times in TR Web of Science Cited 8 times in Scopus Search Google Scholar Access Statistics: 5 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Wed, 26 Jul 2017, 12:09:36 EST

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.