In practice, it is usually difficult to obtain the physical model of nonlinear, rotor-bearing systems due to uncertain nonlinearities. In order to solve this issue to conduct the analysis and design of nonlinear, rotor-bearing systems, in this study, a data driven NARX (Nonlinear Auto-Regressive with exogenous inputs) model is identified. Due to the lack of the random input signal which is requ...

This paper presents an improvement of hybrid of nonlinear autoregressive with exogenous input (NARX) and autoregressive moving average (ARMA) for long-term machine state forecasting based on vibration data. In this study, vibration data is considered as a combination of two components which are deterministic data and error. The deterministic component may describe the degradation index of machi...

The aim of the study is to find right architecture NARX neural network, in order perform daily prediction maximum wind speed Laayoune city. We relied on Levenberg-Marquardt optimization algorithm. RMSE error metric showed that NARX-SP outperforms NARX-P.

we have that Bayesian regression, a nonparametric identification technique with several appealing features, can be applied to the identification of NARX (nonlinear ARX) models. However, its computational complexity scales as O(N 3) where N is the data set size. In order to reduce complexity, the challenge is to obtain fixed-order parametric models capable of approximating accurately the nonpara...

This section presents, an important class of multivariate non-linear models for discrete time: NARX (Nonlinear AutoRegressive with eXogenous inputs) feedforward NN [2]. The use of NARX Networks for forecasting has gained popularity due to its capacity to represent nonlinear systems with good precision and due to the fact that any data which can, in some way, supply information to the series of ...

In this research paper, a nonlinear autoregressive with exogenous input (NARX) model of the system based on neural network and time series analysis is proposed to deal one-month forecast produced power from photovoltaic modules (PVM). The PVM monocrystalline cell rated production 175 watts that placed at Heliopolis University, Bilbéis city, Egypt. NARX considered powerful enough emulate dynamic...