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Traditionally, the dual-porosity model has been used in modeling naturally fractured reservoirs.
These networks have been used in modeling the mechanical behavior of fiber-reinforced composite materials.
In the literature, logistic growth [34] and mixed growth forms [35] have been used in modeling such input rate.
In this study, we will consider the cable equation that has been used in modeling the ion electro diffusion at the neurons.
In recent years, a variety of artificial intelligence (AI) techniques, such as neural networks and fuzzy inference systems, have been used in modeling of complex nonlinear water treatment processes.
ANN have already been used in medical applications, image and speech recognition, classification and control of dynamic systems, among others; but only recently have they been used in modeling the mechanical behavior of fiber-reinforced composite materials.
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The negative exponent Emden-Fowler equation has been used in modelling non-Newtonian fluids such as coal slurries [2].
CP ANN algorithm was used in modeling.
Similarly, UV data are used in modeling activities.
To obtain the best model for the prediction, multiple linear regression method is used in modeling.
After these phases, the deployed UML profile is ready to be used in modeling.
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