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Nonlinear modelling

In mathematics, nonlinear modelling is empirical or semi-empirical modelling which takes at least some nonlinearities into account. Nonlinear… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
Parameters in a generalized extreme value (GEV) distribution are specified as a function of covariates using a conditional… Expand
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Highly Cited
2007
Highly Cited
2007
Data from spectrophotometers form vectors of a large number of exploitable variables. Building quantitative models using these… Expand
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Highly Cited
2007
Highly Cited
2007
Modern trends in designing mechatronic systems call for a synergic design of the separated subsystems (mechanic, electronic parts… Expand
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2006
2006
In this paper, we propose a new system for human action recognition with a view to applications in security systems, man-machine… Expand
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Highly Cited
2003
Highly Cited
2003
In this paper, a method is presented to extend the classical identification methods for linear systems towards nonlinear… Expand
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Highly Cited
2003
Highly Cited
2003
This paper presents the development of a nonlinear model and of a nonlinear control strategy for a VARIO scale model helicopter… Expand
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2001
2001
A multi-layer perception neural network trained with the back-propagation algorithm is adopted to make daily river flow forecasts… Expand
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2001
2001
This paper presents a systematic development of a unified signal flow graph (SFG) model for an N-cell interleaved DC-DC converter… Expand
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Highly Cited
1997
Highly Cited
1997
In feedforward networks, signals flow in only one direction without feedback. Applications in forecasting, signal processing and… Expand
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Highly Cited
1992
Highly Cited
1992
An introduction to dynamical systems some non-linear time series models probability structure statistical aspects non-linear… Expand
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