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- W2354691190 abstract "This paper proposes a model for predicting the reservoir parameters based on the combination of neural network with the partial least square method.The factors affecting the reservoir parameters are analyzed by means of partial least square method to extract the most important components,so that not only the problem of multi-correlation among variables can be solved but also the amount of input dimensions of the neural network can be reduced.Besides,the application of neural network helps to solve the problem of nonlinearity of the model.The applied example shows that the proposed model has higher precision than those models based on neural network method only." @default.
- W2354691190 created "2016-06-24" @default.
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- W2354691190 date "2007-01-01" @default.
- W2354691190 modified "2023-09-27" @default.
- W2354691190 title "Prediction of the reservoir parameters based on the coupling of neural network model with partial least square method" @default.
- W2354691190 hasPublicationYear "2007" @default.
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