The Box--Jenkins analysis and neural networks: Prediction and time series modelling

DOI10.1016/S0307-904X(03)00079-9zbMath1040.62106OpenAlexW2093996525MaRDI QIDQ1433266

Nejib Smaoui, Mahmoud Gabr, Sana S. BuHamra

Publication date: 15 June 2004

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0307-904x(03)00079-9

zbMATH Keywords

Artificial neural networksAutoregressive integrated moving average modelBox-Jenkins analysisTime series modelling

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics to environmental and related topics (62P12) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (5)

Evaluation performance of time series methods in demand forecasting: Box-Jenkins vs artificial neural network (Case study: Automotive Parts industry) ⋮ Improving weighted information criterion by using optimization ⋮ A new model selection strategy in artificial neural networks ⋮ A new method for fault prediction of model-unknown nonlinear system ⋮ A new method to mitigate data fluctuations for time series prediction

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