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https://hdl.handle.net/10356/3784| Title: | Neural network modelling of a dynamic process | Authors: | Wu, Youcheng. | Keywords: | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems | Issue Date: | 2001 | Abstract: | 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 faster than the other learning algorithms. | URI: | http://hdl.handle.net/10356/3784 | Schools: | School of Electrical and Electronic Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
| Appears in Collections: | EEE Theses |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| EEE-THESES_1611.pdf Restricted Access | 5.58 MB | Adobe PDF | View/Open |
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