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A study of hybrid neural network approaches and the effects of missing data on traffic forecasting

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Publication:5957435
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DOI10.1007/s521-001-8054-3zbMath0990.68576OpenAlexW2005248249MaRDI QIDQ5957435

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Publication date: 6 March 2002

Published in: Neural Computing and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s521-001-8054-3


zbMATH Keywords

ARIMA modelsself-organizing map


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99)


Related Items

Hybrid evolutionary algorithms in a SVR traffic flow forecasting model ⋮ Forecasting urban traffic flow by SVR with continuous ACO




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