Neural networks and nonlinear statistical methods: An application to the modelling of price-quality relationships
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Publication:1348545
DOI10.1016/S0305-0548(00)00096-4zbMath1003.91021MaRDI QIDQ1348545
Publication date: 24 June 2002
Published in: Computers \& Operations Research (Search for Journal in Brave)
Learning and adaptive systems in artificial intelligence (68T05) Microeconomic theory (price theory and economic markets) (91B24)
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Cites Work
- Testing for neglected nonlinearity in time series models. A comparison of neural network methods and alternative tests
- Multilayer feedforward networks are universal approximators
- Universal approximation bounds for superpositions of a sigmoidal function
- Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives
- Some Asymptotic Results for Learning in Single Hidden-Layer Feedforward Network Models
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