Abstract
In this study, a novel neural network ensemble system, i.e. NNES, is proposed for economic forecasting. This ensemble approach utilizes the boosting and bagging algorithms to constitute neural network ensemble respectively, which are combined into NNES with simple average, and a novel forecasting effective measure algorithm to determine the weights used to form the neural network ensembles. For illustration and testing purposes, the proposed ensemble model is applied for economic forecasting.
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Lin, J., Zhu, B. (2007). A Novel Neural Network Ensemble System for Economic Forecasting. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_138
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DOI: https://doi.org/10.1007/978-3-540-74282-1_138
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74281-4
Online ISBN: 978-3-540-74282-1
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