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