FAULT DETECTION AND DIAGNOSIS ALGORITHMS USING NARX NEURAL NETWORK AND SUPPORT VECTOR MACHINE

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Main Author: TAQVI, SYED ALI AMMAR
Format: Thesis
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.20821 /
Published: 2020
Subjects:
Online Access: http://utpedia.utp.edu.my/20821/1/SYED%20ALI%20AMMAR%20TAQVI_G03168.pdf
http://utpedia.utp.edu.my/20821/
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id utp-utpedia.20821
recordtype eprints
spelling utp-utpedia.208212021-09-09T13:41:28Z http://utpedia.utp.edu.my/20821/ FAULT DETECTION AND DIAGNOSIS ALGORITHMS USING NARX NEURAL NETWORK AND SUPPORT VECTOR MACHINE TAQVI, SYED ALI AMMAR TP Chemical technology . 2020-01 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20821/1/SYED%20ALI%20AMMAR%20TAQVI_G03168.pdf TAQVI, SYED ALI AMMAR (2020) FAULT DETECTION AND DIAGNOSIS ALGORITHMS USING NARX NEURAL NETWORK AND SUPPORT VECTOR MACHINE. PhD thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
TAQVI, SYED ALI AMMAR
FAULT DETECTION AND DIAGNOSIS ALGORITHMS USING NARX NEURAL NETWORK AND SUPPORT VECTOR MACHINE
description .
format Thesis
author TAQVI, SYED ALI AMMAR
author_sort TAQVI, SYED ALI AMMAR
title FAULT DETECTION AND DIAGNOSIS ALGORITHMS USING NARX NEURAL NETWORK AND SUPPORT VECTOR MACHINE
title_short FAULT DETECTION AND DIAGNOSIS ALGORITHMS USING NARX NEURAL NETWORK AND SUPPORT VECTOR MACHINE
title_full FAULT DETECTION AND DIAGNOSIS ALGORITHMS USING NARX NEURAL NETWORK AND SUPPORT VECTOR MACHINE
title_fullStr FAULT DETECTION AND DIAGNOSIS ALGORITHMS USING NARX NEURAL NETWORK AND SUPPORT VECTOR MACHINE
title_full_unstemmed FAULT DETECTION AND DIAGNOSIS ALGORITHMS USING NARX NEURAL NETWORK AND SUPPORT VECTOR MACHINE
title_sort fault detection and diagnosis algorithms using narx neural network and support vector machine
publishDate 2020
url http://utpedia.utp.edu.my/20821/1/SYED%20ALI%20AMMAR%20TAQVI_G03168.pdf
http://utpedia.utp.edu.my/20821/
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score 11.62408