Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/34697
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dc.contributor.authorUddin, Md. Alhaz-
dc.contributor.authorJameel, Mohammed-
dc.contributor.authorRazak, Hashim Abdul-
dc.date.accessioned2016-07-05T10:36:32Z-
dc.date.available2016-07-05T10:36:32Z-
dc.date.issued2015-03-
dc.identifier.issn0975-1033 (Online); 0379-5136 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/34697-
dc.description394-403en_US
dc.description.abstractArtificial Neural networks (ANNs) are good for prediction, damage detection, online monitoring and controlling in fixed jacket platform in such cases where formal analysis is tough or impossible. This paper presents state-of-the-art information reported so far on the research studies of ANN applications and future opportunity for fixed jacket offshore platforms. It is found that ANNs provide fairly accurate results as compared to conventional method. Based on the review, the future scope of work is outlined.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJMS Vol.44(03) [March 2015]en_US
dc.subjectArtificial Neural networken_US
dc.subjectFixed jacket platformen_US
dc.subjectShallow wateren_US
dc.subjectDamage detectionen_US
dc.subjectOnline monitoringen_US
dc.subjectPredictionen_US
dc.subjectControllingen_US
dc.titleApplication of artificial neural network in fixed offshore structuresen_US
dc.typeArticleen_US
Appears in Collections: IJMS Vol.44(03) [March 2015]

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