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What is Neural Networks for Diesel Engine Combustion about?

This study employs artificial neural networks (ANNs) to predict combustion parameters of a diesel engine fueled with biodiesel, utilizing various models including multilayer perceptron (MLP), adaptive neuro-fuzzy inference system (ANFIS), and radial basis function network (RBFN). The research focuses on key combustion characteristics such as maximum heat release rate, ignition delay, and maximum cylinder pressure, with high accuracy achieved through model training using actual engine data. The findings indi

Author

Tushar Anand

Language

EN