Neural Network Modelling for Heat Exchanger
The controlling of heat exchanger using conventional PID controller always face the problem of having limiting performance due to unpredictable unsteady state thermal behavior of heat exchangers. In recent decades, the applications of neural network for thermal analysis of heat exchangers have be...
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| Format: | Final Year Project |
| Language: | English |
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Universiti Teknologi PETRONAS
2016
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| Online Access: | http://utpedia.utp.edu.my/22445/1/Dissertation_16111.pdf http://utpedia.utp.edu.my/22445/ |
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my-utp-utpedia.224452022-02-14T04:35:20Z http://utpedia.utp.edu.my/22445/ Neural Network Modelling for Heat Exchanger Goh, Kheng Seng TP Chemical technology The controlling of heat exchanger using conventional PID controller always face the problem of having limiting performance due to unpredictable unsteady state thermal behavior of heat exchangers. In recent decades, the applications of neural network for thermal analysis of heat exchangers have been extensively studies by great amount of researchers and institutions. The non-linear characteristic of neural network is deemed to possess great potential to accurately predict heat exchangers performance. In this paper, multilayer feedforward network has been chosen as the base network architecture to construct a neural network model for heat exchanger. Universiti Teknologi PETRONAS 2016-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/22445/1/Dissertation_16111.pdf Goh, Kheng Seng (2016) Neural Network Modelling for Heat Exchanger. Universiti Teknologi PETRONAS. (Submitted) |
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English |
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TP Chemical technology |
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TP Chemical technology Goh, Kheng Seng Neural Network Modelling for Heat Exchanger |
| description |
The controlling of heat exchanger using conventional PID controller always face the
problem of having limiting performance due to unpredictable unsteady state thermal
behavior of heat exchangers. In recent decades, the applications of neural network for
thermal analysis of heat exchangers have been extensively studies by great amount of
researchers and institutions. The non-linear characteristic of neural network is deemed
to possess great potential to accurately predict heat exchangers performance. In this
paper, multilayer feedforward network has been chosen as the base network
architecture to construct a neural network model for heat exchanger. |
| format |
Final Year Project |
| author |
Goh, Kheng Seng |
| author_facet |
Goh, Kheng Seng |
| author_sort |
Goh, Kheng Seng |
| title |
Neural Network Modelling for Heat Exchanger |
| title_short |
Neural Network Modelling for Heat Exchanger |
| title_full |
Neural Network Modelling for Heat Exchanger |
| title_fullStr |
Neural Network Modelling for Heat Exchanger |
| title_full_unstemmed |
Neural Network Modelling for Heat Exchanger |
| title_sort |
neural network modelling for heat exchanger |
| publisher |
Universiti Teknologi PETRONAS |
| publishDate |
2016 |
| url |
http://utpedia.utp.edu.my/22445/1/Dissertation_16111.pdf http://utpedia.utp.edu.my/22445/ |
| _version_ |
1739832946666242048 |
| score |
13.209306 |