Forecasting of 15 time series of DGOR with neural networks

DOI10.1007/BF01539737zbMath0949.62565OpenAlexW186397809WikidataQ56700518 ScholiaQ56700518MaRDI QIDQ1814874

Elmar Steurer

Publication date: 6 December 2000

Published in: OR Spektrum (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf01539737

zbMATH Keywords

predictiontime seriesnon-stationarityDickey-Fuller test

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Integration of price-depending demand reactions in an optimising energy emission model for the development of \(\text{CO}_2\)-mitigation strategies

Cites Work

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• Multilayer feedforward networks are universal approximators
• Distribution of the Estimators for Autoregressive Time Series With a Unit Root
• Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root
• Learning representations by back-propagating errors

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