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Hybrid Learning Algorithms For Interval Type-2 Fuzzy Logic System to Model Nonlinear Dynamic Systems

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Bibliographic Details
Main Author: Hassan, Saima
Format: Thesis
Published: 2016
Subjects:
T Technology (General)
Online Access:http://utpedia.utp.edu.my/id/eprint/25221/
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id oai:utpedia.utp.edu.my:25221
record_format eprints
spelling oai:utpedia.utp.edu.my:252212023-09-26T02:49:05Z http://utpedia.utp.edu.my/id/eprint/25221/ Hybrid Learning Algorithms For Interval Type-2 Fuzzy Logic System to Model Nonlinear Dynamic Systems Hassan, Saima T Technology (General) 2016 Thesis NonPeerReviewed Hassan, Saima (2016) Hybrid Learning Algorithms For Interval Type-2 Fuzzy Logic System to Model Nonlinear Dynamic Systems. Doctoral thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
topic T Technology (General)
spellingShingle T Technology (General)
Hassan, Saima
Hybrid Learning Algorithms For Interval Type-2 Fuzzy Logic System to Model Nonlinear Dynamic Systems
format Thesis
author Hassan, Saima
author_facet Hassan, Saima
author_sort Hassan, Saima
title Hybrid Learning Algorithms For Interval Type-2 Fuzzy Logic System to Model Nonlinear Dynamic Systems
title_short Hybrid Learning Algorithms For Interval Type-2 Fuzzy Logic System to Model Nonlinear Dynamic Systems
title_full Hybrid Learning Algorithms For Interval Type-2 Fuzzy Logic System to Model Nonlinear Dynamic Systems
title_fullStr Hybrid Learning Algorithms For Interval Type-2 Fuzzy Logic System to Model Nonlinear Dynamic Systems
title_full_unstemmed Hybrid Learning Algorithms For Interval Type-2 Fuzzy Logic System to Model Nonlinear Dynamic Systems
title_sort hybrid learning algorithms for interval type-2 fuzzy logic system to model nonlinear dynamic systems
publishDate 2016
url http://utpedia.utp.edu.my/id/eprint/25221/
_version_ 1778164481563557888
score 13.214268

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