Nonlinear autoregressive exogenous model

Known as: NARX, Nonlinear ARX 
In time series modeling, a nonlinear autoregressive exogenous model (NARX) is a nonlinear autoregressive model which has exogenous inputs. This means… (More)
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Topic mentions per year

1992-2017
02040608019922017

Papers overview

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2017
2017
The stock market can provide huge profits in a relatively short time in financial sector. However, it also has a high risk for… (More)
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2017
2017
Due to the advances of network technologies and multimedia communications, Quality of Service (QoS) becomes an increasingly… (More)
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2013
2013
Content Centric Networking (CCN) has been recently proposed as a potential candidate for the future Internet architecture. It… (More)
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2013
2013
This paper compares the model performance for car speed forecasting. The experimented car measures the revolution, injected fuel… (More)
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2011
2011
In this paper, we propose a new approach to identify a new class of nonlinear autoregressive models with exogenous inputs (NARX… (More)
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2011
2011
This paper explores a new approach for predicting software faults by means of NARX neural network. Also, a careful analysis has… (More)
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2010
2010
The exchange-rate time series is a dynamic non-linear system, whose characteristics cannot be reflected by neither the linear… (More)
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2010
2010
Exchange rate time series is often characterized as chaotic in nature. The prediction using conventional statistical techniques… (More)
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2010
2010
The extension of active noise control (ANC) techniques to deal with nonlinear effects such as distortion and saturation requires… (More)
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2010
2010
This paper explores the application of Non-Linear Autoregressive Model with Exogeneous Inputs (NARX) system identification of an… (More)
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