Neural network modelling of a dynamic process
This dissertation presents a dynamic modeling based on the data collected continuously on plant input and output variables using Nonlinear Auto Regression with exogenous inputs (NARX) recurrent neural network. The Levengerg-Marquardt learning algorithm was chosen to train the network, as it is faste...
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Format: | Theses and Dissertations |
Published: |
2008
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Online Access: | http://hdl.handle.net/10356/3784 |
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Institution: | Nanyang Technological University |