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Time-sequenced flow field prediction in an optical spark-ignition direct-injection engine using bidirectional recurrent neural network (bi-RNN) with long short-term memory

Fengnian Zhao, Zhiming Ruan, Zongyu Yue, David L. S. Hung, Sibendu Som, Min Xu

2020Applied Thermal Engineering38 citationsDOIOpen Access PDF

Topics & Concepts

Recurrent neural networkCylinderTransient (computer programming)Flow (mathematics)Artificial neural networkSPARK (programming language)MechanicsVortexParticle image velocimetryCylinder headComputer scienceControl theory (sociology)SimulationInternal combustion engineEngineeringArtificial intelligencePhysicsMechanical engineeringTurbulenceOperating systemProgramming languageControl (management)Advanced Combustion Engine TechnologiesCombustion and flame dynamicsSpectroscopy and Laser Applications
Time-sequenced flow field prediction in an optical spark-ignition direct-injection engine using bidirectional recurrent neural network (bi-RNN) with long short-term memory | Litcius