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Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE (2008)
Dec. 19, 2008 to Dec. 20, 2008
ISBN: 978-0-7695-3490-9
pp: 18-22
ABSTRACT
Based on analyzing fundamental principle of Back Propagation Network Model, the paper has established a topology network structure include 12 input layer 25 hidden layer and 2 output layer, 12 input nodes correspond the heighten expression of
INDEX TERMS
Artificial Neural Network, BP, oil well yield, Roll Forecasting, Tracking Model
CITATION

J. Xie, P. Lin, H. Liang and M. Lu, "The Research and Application of BP Network Tracking Model for Forecasting Oil Well Yield," 2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application. PACIIA 2008(PACIIA), Wuhan, 2008, pp. 18-22.
doi:10.1109/PACIIA.2008.194
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