Modelling the Exhaust Gas Aftertreatment System of a SI Engine Using Artificial Neural Networks

In this paper recurrent neural networks are used for modelling of the exhaust gas aftertreatment system of a spark-ignition engine including a three-way catalytic converter and oxygen sensors. Different network architectures are compared based on their achieved mean squared error. We find that physi...

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