Abstract
In this paper, a new forecasting model named GGNNM(1,1) model is presented.First of all, a generalized GM(1,1) model based on the traditional GM (1,1) model is established, then the generalized GM(1,1) model and the theory of neural network are combined to establish the GGNNM(1,1) model.Furthermore, the algorithm for solving this new model is given. Finally, a forecasting example is given to demonstrate the feasibility and rationality of this new model.
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© 2007 Springer-Verlag Berlin Heidelberg
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Wang, C., Liao, X. (2007). Novel Forecasting Method Based on Grey Theory and Neural Network. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2007. Lecture Notes in Computer Science(), vol 4682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74205-0_15
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DOI: https://doi.org/10.1007/978-3-540-74205-0_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74201-2
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