Dynamic modelling and control of heaters using neural network computation techniques
Classical approaches to modelling of nonlinear process systems such as the Volterra series method and the Hammerstein model have proven to be cumbersome due to the large number of parameters to be used in the models. In contrast, artificial neural networks offer a promising alternative for modelling...
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| Format: | Thesis |
| Language: | English |
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2009
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| Online Access: | http://hdl.handle.net/10356/19591 |