Using Deep Learning Networks to Estimate NOX Emissions - TheMathworksNewsletters
 

Renault built and trained a long short-term memory (LSTM) network that achieved 85–90% accuracy in predicting NOx levels compared to the 60–70% accuracy they saw with lookup tables.

2021-07-12 08:00 AM


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