Optimization of neural network topology for prediction of outlet temperature of shell and tube heat exchanger
Performance of heat exchanger always fluctuating because of non-linearity property of heat transfer rate, Q. Artificial Neural Network (ANN), is applied for nearly a decades in most industries for its ability to project the non-linear property of heat transfer rate. Training algorithms used in this...
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| Format: | Student Project |
| Language: | en |
| Published: |
2019
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| Online Access: | https://ir.uitm.edu.my/id/eprint/118775/1/118775.pdf https://ir.uitm.edu.my/id/eprint/118775/ |
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