In mathematics, nonlinear modelling is empirical or semi-empirical modelling which takes at least some nonlinearities into account. Nonlinearâ€¦Â (More)

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2015

2015

- Andrew McHutchon
- 2015

In many scientific disciplines it is often required to make predictions about how a system will behave or to deduce the correctâ€¦Â (More)

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2007

2007

- Violeta Mangourova, John Ringwood, Sarah Jane Guild, Simon Malpas
- Biomed. Signal Proc. and Control
- 2007

The control of blood pressure is a complex mixture of neural, hormonal and intrinsic interactions at the level of the heartâ€¦Â (More)

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2007

2007

- Jian Xun Peng, Kang Li, George W. Irwin
- IEEE Transactions on Automatic Control
- 2007

A continuous forward algorithm (CFA) is proposed for nonlinear modelling and identification using radial basis function (RBFâ€¦Â (More)

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Highly Cited

2005

Highly Cited

2005

1 Projet AxIS, INRIA-Rocquencourt, Domaine de Voluceau, Rocquencourt, B.P. 105, F-78153 Le Chesnay Cedex, France, Fabrice.Rossiâ€¦Â (More)

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Highly Cited

2001

Highly Cited

2001

Neural networks such as multilayer perceptrons and radial basis function networks have been very successful in a wide range ofâ€¦Â (More)

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2001

2001

This paper examines the estimation of a global nonlinear gas turbine model using NARMAX techniques. Linear models estimated onâ€¦Â (More)

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2001

2001

An analysis of predictability of a nonlinear and nonstationary ozone time series is provided. For rigour, the DVS analysis isâ€¦Â (More)

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2000

2000

In this contribution, genetic programming is combined with continuum regression to produce two novel nonlinear continuumâ€¦Â (More)

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1997

1997

- Ramazan Geqay
- 1997

In feedforward networks, signals flow in only one direction without feedback. Applications in forecasting, signal processing andâ€¦Â (More)

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1995

1995

Local Model Networks are learning systems which are able to model and control unknown nonlinear dynamic processes from theirâ€¦Â (More)

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