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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
Jun Xie, Minghui Lu, Huizhen Liang, Peng Lin, "The Research and Application of BP Network Tracking Model for Forecasting Oil Well Yield", Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE, vol. 01, no. , pp. 18-22, 2008, doi:10.1109/PACIIA.2008.194
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