AIMC Topic: Gasoline

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Analysis of the performance, emission and combustion characteristics of a turbocharged diesel engine fuelled with Jatropha curcas biodiesel-diesel blends using kernel-based extreme learning machine.

Environmental science and pollution research international Sep 20, 2017
The purpose of this study is to investigate the performance, emission and combustion characteristics of a four-cylinder common-rail turbocharged diesel engine fuelled with Jatropha curcas biodiesel-diesel blends. A kernel-based extreme learning machi...
Machine Learning Biofuels Vehicle Emissions Gasoline Jatropha
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Real-time, adaptive machine learning for non-stationary, near chaotic gasoline engine combustion time series.

Neural networks : the official journal of the International Neural Network Society May 15, 2015
Fuel efficient Homogeneous Charge Compression Ignition (HCCI) engine combustion timing predictions must contend with non-linear chemistry, non-linear physics, period doubling bifurcation(s), turbulent mixing, model parameters that can drift day-to-da...
Machine Learning Algorithms Support Vector Machine Models, Neurological Nonlinear Dynamics Vehicle Emissions Gasoline
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