Online Composition Prediction of a Debutanizer Column Using Artificial Neural Network

Saved in:
Bibliographic Details
Main Authors: Mohamed Ramli, Nasser, Abdullah, Bawadi
Format: Article
Published: 2017
Online Access:http://scholars.utp.edu.my/id/eprint/35635/
Tags: Add Tag
No Tags, Be the first to tag this record!
id oai:scholars.utp.edu.my:35635
record_format eprints
spelling oai:scholars.utp.edu.my:356352023-04-11T02:00:11Z http://scholars.utp.edu.my/id/eprint/35635/ Online Composition Prediction of a Debutanizer Column Using Artificial Neural Network Mohamed Ramli, Nasser Abdullah, Bawadi 2017 Article NonPeerReviewed Mohamed Ramli, Nasser and Abdullah, Bawadi (2017) Online Composition Prediction of a Debutanizer Column Using Artificial Neural Network. Online Composition Prediction of a Debutanizer Column Using Artificial Neural Network.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Article
author Mohamed Ramli, Nasser
Abdullah, Bawadi
spellingShingle Mohamed Ramli, Nasser
Abdullah, Bawadi
Online Composition Prediction of a Debutanizer Column Using Artificial Neural Network
author_facet Mohamed Ramli, Nasser
Abdullah, Bawadi
author_sort Mohamed Ramli, Nasser
title Online Composition Prediction of a Debutanizer Column Using Artificial Neural Network
title_short Online Composition Prediction of a Debutanizer Column Using Artificial Neural Network
title_full Online Composition Prediction of a Debutanizer Column Using Artificial Neural Network
title_fullStr Online Composition Prediction of a Debutanizer Column Using Artificial Neural Network
title_full_unstemmed Online Composition Prediction of a Debutanizer Column Using Artificial Neural Network
title_sort online composition prediction of a debutanizer column using artificial neural network
publishDate 2017
url http://scholars.utp.edu.my/id/eprint/35635/
_version_ 1762964105755361280
score 13.209306