ignition-delay-data

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Computational-Chemistry-and-Combustion / DataDrivenIDT

A framework to predict ignition delay using GMM, Spath, multiple regression and error based tertiary tree algorithms to generate training models. Extreme points of the cluster are utilized to make the correct identification of cluster and test predictions.

algorithm machine-learning-algorithms regression prediction fuel combustion-models regression-classification ignition-delay ignition-delay-data

Updated Jul 21, 2023
Python

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