Dynamic Chemical Process Modelling Using a Multiple Basis Function Genetic Programming Algorithm (2000)
by
Mark Hinchliffe Mark
,
Mark Willis
,
Ming Tham
,
Gary Montague
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@MISC{Mark00dynamicchemical,
author = {Mark Hinchliffe Mark and Mark Willis and Ming Tham and Gary Montague},
title = {Dynamic Chemical Process Modelling Using a Multiple Basis Function Genetic Programming Algorithm},
year = {2000}
}
author = {Mark Hinchliffe Mark and Mark Willis and Ming Tham and Gary Montague},
title = {Dynamic Chemical Process Modelling Using a Multiple Basis Function Genetic Programming Algorithm},
year = {2000}
}
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Abstract:
This paper demonstrates how a multiple basis function GP (MBFGP) algorithm (Willis et al. 1997) may be used for the dynamic modelling.
Citations
| 111 | Adaptive Fuzzy Systems and Control: Design and Stability Analysis – Wang - 1994 |
| 9 | Representation of nonlinear systems – S, Billings - 1989 |
| 3 | Nonlinear black-box models in system identi cation – Ljung - 1997 |
| 1 | Steady-state Modelling of – McKay, Willis, et al. - 1997 |
