Estimation of Composition for Depropanizer Column Using Neural Network
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...
| Main Author: | Noor Zulkifli, Nur Amalina |
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| Format: | Final Year Project |
| Language: | English |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-utpedia.22520 / |
| Published: |
Universiti Teknologi PETRONAS
2016
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| Subjects: | |
| Online Access: |
http://utpedia.utp.edu.my/22520/1/FYPII%20Dissertation%20Amalina%2015931.pdf http://utpedia.utp.edu.my/22520/ |
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| Summary: |
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. |
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