Support vector machine modelling applied to benchmark data set for two-phase Coriolis mass flow metering
An earlier paper introduced a dataset of Coriolis meter mass flow and density errors, induced by the effects of two-phase (gas/liquid) flow, as a benchmark for which various error correction strategies might be developed. That paper further presented a series of error correction models based on neur...
| Main Authors: | , , |
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| 格式: | Journal article |
| 语言: | English |
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Elsevier
2021
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