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Machine Learning for Real-Time Hydrate Risk
Andrew Yule
This talk will discuss how the advanced neural network framework within Wolfram Language was used to train and develop a model built from simulation-based data that went on to be used for real-time monitoring of hydrate formation risk at an LNG (liquified natural gas) facility.
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Channels: Technology Conference
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