Sentence examples for modeling nonlinear systems from inspiring English sources

It has been demonstrated that neural networks are a competitive substitute to conventional models for modeling nonlinear systems.

This work tackles the problem of modeling nonlinear systems using Volterra models based on Kautz functions.

This paper presents a new multi-stage genetic programming (MSGP) strategy for modeling nonlinear systems.

Another powerful technique for modeling nonlinear systems is neuro-fuzzy which has an ability to handle uncertain and noisy data from fuzzy inference system and learning ability from neural networks.

In that regard, fuzzy logic - which is used for modeling nonlinear systems - could be a useful tool.

Local model networks (LMN) have been shown to be an effective approach for modeling nonlinear systems.

Block-oriented models are often used to model nonlinear systems.

ANNs can model nonlinear systems and have been employed for modeling of systems (Chelani et al. 2002).

Artificial neural networks (ANNs) are effective tools to model nonlinear systems and require fewer inputs.

First, a T-S fuzzy approach is employed to model nonlinear systems.

One of the limitations imposed by linear regression models is that they will underperform when used to model nonlinear systems (Gardner and Dorling 1998).