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The sample set is limited to quartz-rich reservoir sands with an induced water-wet condition.
Averaged sensitivity over the sample set is around 10 kV/T/cm at 10 MHz.
Mean 26Al/10Be ratios of 6.6 for each sample set is consistent with the actively exhuming late Quaternary tectonic setting.
The discrepancy of the NTM-based sample set is 1/6-1/7 1/6-1/7 samples withatqual spacing.
Table 2: Statistical summary of two sets of 6000 Samples (the IT sample set is a subset of the first 6000 samples reported in Table 1).
When the scale of the training sample set is large and the parameter space is huge, the existing popular super-parameter selection methods are impractical due to high computational complexity.
Investigating such a large sample set is practically impossible.
A larger sample set is needed to investigate this more extensively.
The target number of the training sample set is obtained by formulas (1) and (2).
For demonstration purposes a small sample set is used for this case study.
When the sample set is more complex, the momentum term can be used to improve the BP algorithm further.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com