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Artificial neural network based production forecasting for a hydrocarbon reservoir under water injection
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NEGASH Berihun Mamo,YAW Atta Dennis
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Table 3 Performance of the trained model without feature extraction.
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Number of
hidden neuron | MSE | R2 | | Training | Testing | Training | Testing | | 10 | 1076.160 | 9832.810 | 0.963 | -0.029 | | 15 | 806.620 | 4318.630 | 0.972 | 0.581 | | 20 | 479.087 | 5552.890 | 0.983 | 0.034 | | 25 | 331.670 | 31 841.000 | 0.989 | 0.011 | | 30 | 368.534 | 69 404.000 | 0.756 | 0.463 |
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