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Application Of The Fuzzy Min-Max Neural Networks To Medical Diagnosis.

Abstract. In this paper, the Fuzzy Min-Max (FMM) neural network along with two modified FMM models are used for tackling medical diagnostic problems. The original FMM network establishes hyperboxes with fuzzy sets in its structure for classifying input patterns into different output categories.

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Main Authors: Quteishat, Anas Mohammad Ali, Chee, Peng Lim
格式: Conference or Workshop Item
語言:English
出版: 2008
主題:
TK1-9971 Electrical engineering. Electronics. Nuclear engineering
在線閱讀:http://eprints.usm.my/13267/1/application_of_the_fuzzy_min-max.pdf
http://eprints.usm.my/13267/
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id my.usm.eprints.13267
record_format eprints
spelling my.usm.eprints.13267 http://eprints.usm.my/13267/ Application Of The Fuzzy Min-Max Neural Networks To Medical Diagnosis. Quteishat, Anas Mohammad Ali Chee, Peng Lim TK1-9971 Electrical engineering. Electronics. Nuclear engineering Abstract. In this paper, the Fuzzy Min-Max (FMM) neural network along with two modified FMM models are used for tackling medical diagnostic problems. The original FMM network establishes hyperboxes with fuzzy sets in its structure for classifying input patterns into different output categories. 2008 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/13267/1/application_of_the_fuzzy_min-max.pdf Quteishat, Anas Mohammad Ali and Chee, Peng Lim (2008) Application Of The Fuzzy Min-Max Neural Networks To Medical Diagnosis. In: 12th International Conference,KES 2008, 3 – 5 September 2008, Zagreb,Croatia .
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic TK1-9971 Electrical engineering. Electronics. Nuclear engineering
spellingShingle TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Quteishat, Anas Mohammad Ali
Chee, Peng Lim
Application Of The Fuzzy Min-Max Neural Networks To Medical Diagnosis.
description Abstract. In this paper, the Fuzzy Min-Max (FMM) neural network along with two modified FMM models are used for tackling medical diagnostic problems. The original FMM network establishes hyperboxes with fuzzy sets in its structure for classifying input patterns into different output categories.
format Conference or Workshop Item
author Quteishat, Anas Mohammad Ali
Chee, Peng Lim
author_facet Quteishat, Anas Mohammad Ali
Chee, Peng Lim
author_sort Quteishat, Anas Mohammad Ali
title Application Of The Fuzzy Min-Max Neural Networks To Medical Diagnosis.
title_short Application Of The Fuzzy Min-Max Neural Networks To Medical Diagnosis.
title_full Application Of The Fuzzy Min-Max Neural Networks To Medical Diagnosis.
title_fullStr Application Of The Fuzzy Min-Max Neural Networks To Medical Diagnosis.
title_full_unstemmed Application Of The Fuzzy Min-Max Neural Networks To Medical Diagnosis.
title_sort application of the fuzzy min-max neural networks to medical diagnosis.
publishDate 2008
url http://eprints.usm.my/13267/1/application_of_the_fuzzy_min-max.pdf
http://eprints.usm.my/13267/
_version_ 1643702326680092672
score 13.250246

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