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According to the methods in Sections 3.1 and 3.2.1, we build a neural network model which takes the warning signs indexes (OPC, LPC, PEC, WAC, and PML) as input and the warning situation indexes (OPRP, LPRO) as output to predict the warning situation index (production) of the oilfield development risk from 2010.01 to 2010.03 based on the data in Table 1.
We use genie software to construct the Bayesian network model for the index system of oilfield block development risk which contains OPRO, LPRO, OPC, LPC, PEC, WAC, and PML as in Figure 3 and learn the parameter of Bayesian network based on the history data and the experience of experts as in Figure 4.
Caption: Figure 5: The posterior probability distribution under the evidence of OPRO heavy warning and LPRO Normal.
Caption: Figure 6: The posterior probability distribution under the evidence of OPRO light warning and LPRO Normal.
lPROS have been passing on coaching tips to the stars of the future at the Junior Golf Improvement Centre.
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- LPR Oscillator Unit
- LPR server
- LPR/LPD protocol
- LPR/LPD server
- LPS-associated protein 1
- LPS-stimulated RAW 264.7 macrophage protein 47 homolog