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Deep neural network model with Bayesian hyperparameter optimization for prediction of NO<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1688" altimg="si120.svg"><mml:msub><mml:mrow/><mml:mrow><mml:mi mathvariant="normal">x</mml:mi></mml:mrow></mml:msub></mml:math> at transient conditions in a diesel engine

Seunghyup Shin, Youngbok Lee, Minjae Kim, Jihwan Park, Sangyul Lee, Kyoungdoug Min

2020Engineering Applications of Artificial Intelligence153 citationsDOI

Topics & Concepts

HyperparameterHyperparameter optimizationComputer scienceArtificial intelligenceArtificial neural networkMachine learningBayesian networkBayesian optimizationBayesian probabilityNode (physics)Thompson samplingData miningSupport vector machineStructural engineeringEngineeringVehicle emissions and performanceEnergy, Environment, and Transportation PoliciesAir Quality Monitoring and Forecasting
Deep neural network model with Bayesian hyperparameter optimization for prediction of NO<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1688" altimg="si120.svg"><mml:msub><mml:mrow/><mml:mrow><mml:mi mathvariant="normal">x</mml:mi></mml:mrow></mml:msub></mml:math> at transient conditions in a diesel engine | Litcius