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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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Related topics

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Feedforward neural networkMathematical modelSpline (mathematics)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
An empirical model for the assessment of truck driver fuel economy *
Effective management of fuel economy is of critical importance for road freight transport operators to ensure profitability… 
2018
2018
Global Analysis of Nonlinear Dynamics
Global analysis of nonlinear dynamical systems remains a popular application area of the cell mapping methods in the past decades… 
2012
2012
Modelling of Flange Joints for the Nonlinear Dynamic Analysis of Gas Turbine Engine Casings
The finite element analysis of individual components of aircraft engine casings provides high accuracy and a good agreement with… 
2010
2010
Modeling evaluation of the size of countries (regions) using fuzzy logic
Introduction One of the key issues in solving real problems in deciding is the treatment of problems of uncertainty and… 
2006
2006
Recognizing heuman actions based on motion information and SVM
In this paper, we propose a new system for human action recognition with a view to applications in security systems, man-machine… 
2006
2006
Towards probabilistic footy tipping: a hybrid approach utilising genetically defined neural networks and linear programming
2006
2006
Nonlinear modelling and identification of torsional behaviour in harmonic drives
The demand for accurate and reliable positioning in industrial applications, especially in robotics and high-precision machines… 
2001
2001
River flow prediction: an artificial neural network approach
A multi-layer perception neural network trained with the back-propagation algorithm is adopted to make daily river flow forecasts… 
2000
2000
Measuring temporal complexity of ventricular fibrillation
1995
1995
Forecasting Currency Exchange Rates : Neural Networks and the Random Walk Model
quantitative methods used to forecast the behaviour of financial markets often produce unsatisfactory if not dismal results given… 
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