Sentence examples for modeling nonlinear phenomena from inspiring English sources

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The multilayer perceptron (MLP) neural network has been designed to function well in modeling nonlinear phenomena.

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Single-index varying-coefficient model is an important mathematical modeling method to model nonlinear phenomena in science and engineering.

Hence, the fuzzy models (ANFIS) are used because of their flexibility in modeling of nonlinear phenomena such as rainfall runoff.

Apart from the tradition modeling techniques, artificial intelligence techniques such as artificial neural networks (ANNs), have proven their feasibility in modeling complex nonlinear phenomena in the recent past (Kumar et al. 2002; Kisi 2006a, b; Rahimikhoob 2010; Kumar et al. 2011; Baba et al. 2013; Goyal et al. 2014; Shamshirband et al. 2015).

This technique produces a coupled code relatively quickly and inexpensively and has the advantage of accurately modeling complex nonlinear phenomena often observed in a real field but difficult to capture with a fully coupled simulator.

The potential of the use of the NOFRFs in detecting faults is demonstrated through studying the sensitivity of the NOFRFs to the change of stiffness ratios of a bilinear model which has widely used to model various nonlinear phenomena in engineering practices, including the presence of cracks in structures.

The BVP (1.1) used to model various nonlinear phenomena in physics, chemistry and biology.

Computational intelligent techniques, such as fuzzy and genetic algorithm, have proven to be useful in modeling of complex nonlinear phenomena such as dynamic compaction.

The Duffing-harmonic oscillator is a common model for nonlinear phenomena in science and engineering.

The Duffing oscillator is a common model for nonlinear phenomena in science and engineering.

On the other hand, the p-Laplacian equation is a second order quasilinear differential operator with the ability of modelling various fundamental nonlinear phenomena in non-Newtonian fluids, nonlinear elasticity, torsional creep problem, radiation of heat, etc. [44 56].

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