Determination of manufacturing throughput for mounting machine by using artificial neural network / Nornita Abdul Rahman
This thesis presents the application of artificial neural network to determine the manufacturing throughput for a semi-conductor machine. Two types of neural networks have been used, i.e. Back propagation and radial basis function network. Both models developed have three layers i.e. input layer, hi...
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| Format: | Thesis |
| Language: | en |
| Published: |
1999
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| Online Access: | https://ir.uitm.edu.my/id/eprint/103488/1/103488.pdf https://ir.uitm.edu.my/id/eprint/103488/ |
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