POLYMETALLIC NODULE ABUNDANCE ESTIMATION USING SIDESCAN SONAR: A QUANTITATIVE APPROACH USING ARTIFICIAL NEURAL NETWORK

Master's

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Main Author: WONG LIANG JIE
Other Authors: ELECTRICAL & COMPUTER ENGINEERING
Format: Theses and Dissertations
Language:English
Published: 2019
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/153715
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-1537152019-05-07T13:15:07Z POLYMETALLIC NODULE ABUNDANCE ESTIMATION USING SIDESCAN SONAR: A QUANTITATIVE APPROACH USING ARTIFICIAL NEURAL NETWORK WONG LIANG JIE ELECTRICAL & COMPUTER ENGINEERING MANDAR ANIL CHITRE Deep seabed mining, polymetallic nodule estimation, artificial neural network, Clarion and Clipperton Fracture Master's MASTER OF ENGINEERING 2019-05-06T18:01:34Z 2019-05-06T18:01:34Z 2018-12-03 Thesis WONG LIANG JIE (2018-12-03). POLYMETALLIC NODULE ABUNDANCE ESTIMATION USING SIDESCAN SONAR: A QUANTITATIVE APPROACH USING ARTIFICIAL NEURAL NETWORK. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/153715 0000-0001-6466-3207 en
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
language English
topic Deep seabed mining, polymetallic nodule estimation, artificial neural network, Clarion and Clipperton Fracture
spellingShingle Deep seabed mining, polymetallic nodule estimation, artificial neural network, Clarion and Clipperton Fracture
WONG LIANG JIE
POLYMETALLIC NODULE ABUNDANCE ESTIMATION USING SIDESCAN SONAR: A QUANTITATIVE APPROACH USING ARTIFICIAL NEURAL NETWORK
description Master's
author2 ELECTRICAL & COMPUTER ENGINEERING
author_facet ELECTRICAL & COMPUTER ENGINEERING
WONG LIANG JIE
format Theses and Dissertations
author WONG LIANG JIE
author_sort WONG LIANG JIE
title POLYMETALLIC NODULE ABUNDANCE ESTIMATION USING SIDESCAN SONAR: A QUANTITATIVE APPROACH USING ARTIFICIAL NEURAL NETWORK
title_short POLYMETALLIC NODULE ABUNDANCE ESTIMATION USING SIDESCAN SONAR: A QUANTITATIVE APPROACH USING ARTIFICIAL NEURAL NETWORK
title_full POLYMETALLIC NODULE ABUNDANCE ESTIMATION USING SIDESCAN SONAR: A QUANTITATIVE APPROACH USING ARTIFICIAL NEURAL NETWORK
title_fullStr POLYMETALLIC NODULE ABUNDANCE ESTIMATION USING SIDESCAN SONAR: A QUANTITATIVE APPROACH USING ARTIFICIAL NEURAL NETWORK
title_full_unstemmed POLYMETALLIC NODULE ABUNDANCE ESTIMATION USING SIDESCAN SONAR: A QUANTITATIVE APPROACH USING ARTIFICIAL NEURAL NETWORK
title_sort polymetallic nodule abundance estimation using sidescan sonar: a quantitative approach using artificial neural network
publishDate 2019
url https://scholarbank.nus.edu.sg/handle/10635/153715
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