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Explaining consumer choice through neural networks: the stacked generalization approach

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Publication:1869684
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DOI10.1016/S0377-2217(02)00368-5zbMath1064.91517OpenAlexW2063917853MaRDI QIDQ1869684

Michael Y. Hu, Christos Tsoukalas

Publication date: 28 April 2003

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0377-2217(02)00368-5


zbMATH Keywords

Neural networksconsumer behavior


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Consumer behavior, demand theory (91B42)


Related Items (3)

Neural network ensemble strategies for financial decision applications ⋮ Improved customer choice predictions using ensemble methods ⋮ Diversity of ability and cognitive style for group decision processes




Cites Work

  • Unnamed Item
  • Bayesian and non-Bayesian methods for combining models and forecasts with applications to forecasting international growth rates
  • Multilayer feedforward networks are universal approximators
  • Universal approximation bounds for superpositions of a sigmoidal function
  • Approximation by superpositions of a sigmoidal function




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