Noor Zulkifli, Nur Amalina (2016) Estimation of Composition for Depropanizer Column Using Neural Network. [Final Year Project] (Submitted)
FYPII Dissertation Amalina 15931.pdf
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Abstract
Artificial Neural Network provides better predictions for product quality in chemical
process control. It is a systematic approach that will help to enhance the product
quality by forecasting the top composition of propane for the depropanizer column.
The technology of Neural Network also has the capability to analyse various
complicated data in order to extract patterns and detect powerful trends for the
system so that the generated model can be used to overcome any inappropriate issues
related to end product properties. The objective of this study is to investigate and
explore the use of neural network approach for the prediction of product quality.
Item Type: | Final Year Project |
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Subjects: | T Technology > TP Chemical technology |
Departments / MOR / COE: | Engineering > Chemical |
Depositing User: | Mr Ahmad Suhairi Mohamed Lazim |
Date Deposited: | 14 Feb 2022 04:34 |
Last Modified: | 14 Feb 2022 04:34 |
URI: | http://utpedia.utp.edu.my/id/eprint/22520 |