In this paper, we study an induction motor identification in all states and conditions whether transient or steady using Elman neural network. Induction motors have highly nonlinear dynamic behaviours where the parameters ...

Modeling the emotional content of music is of great

importance, since it is believed that music is capable of inducing

different emotions. In this study we present an Autoregressive

with Exogenous Input ...

This paper addressed a new system identification method which is simply applicable to identify both of the linear and nonlinear models. Having a rough and initial range of values for the parameters of the system, the Taguchi method is used...

This paper shows how mathematical methods can be implemented to formulate guidelines for clinical testing

and monitoring of HIV/AIDS disease. First, a mathematical model for HIV infection is presented which ...