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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… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Global analysis of nonlinear dynamical systems remains a popular application area of the cell mapping methods in the past decades… 
2012
2012
The finite element analysis of individual components of aircraft engine casings provides high accuracy and a good agreement with… 
2010
2010
Introduction One of the key issues in solving real problems in deciding is the treatment of problems of uncertainty and… 
2008
2008
  • X. Xia
  • 2008
  • Corpus ID: 110036790
In this paper, a time series analysis model-building and forecast methods are put forward, it is proved that the methods is high… 
2006
2006
In this paper, we propose a new system for human action recognition with a view to applications in security systems, man-machine… 
2006
2006
The demand for accurate and reliable positioning in industrial applications, especially in robotics and high-precision machines… 
2001
2001
A multi-layer perception neural network trained with the back-propagation algorithm is adopted to make daily river flow forecasts… 
1995
1995
quantitative methods used to forecast the behaviour of financial markets often produce unsatisfactory if not dismal results given…