Estimating soot emission in diesel engines using gated recurrent unit networks
In this paper, a new data-driven modeling of a diesel engine soot emission formation using
gated recurrent unit (GRU) networks is proposed. Different from the traditional time series
prediction methods such as nonlinear autoregressive with exogenous input (NARX)
approach, GRU structure does not require the determination of the pure time delay between
the inputs and the output, and the number of regressors does not have to be chosen
beforehand. Gates in a GRU network enable to capture such dependencies on the past …
gated recurrent unit (GRU) networks is proposed. Different from the traditional time series
prediction methods such as nonlinear autoregressive with exogenous input (NARX)
approach, GRU structure does not require the determination of the pure time delay between
the inputs and the output, and the number of regressors does not have to be chosen
beforehand. Gates in a GRU network enable to capture such dependencies on the past …
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