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There is little literature to introduce the approaches for the feature selection, which plays an important role in the customer churn prediction. In addition, due to the imbalanced data classification problem occurring, most of the traditional approaches ineffectively select the important features for the churn prediction. This paper proposes a new filter feature selection approach for customer churn...
Firstly realizable k-epsilon turbulent model (RKE) and Reynolds stress turbulent model (RSM) were tested against a swirl-cup flow field and the prediction results were compared with the experimental data. Generally, the max error of RKE model and RSM model is about 5% and 3% separately. Thus the RKE model was used in the simulation of a single swirl-cup gas turbine combustor (GTC) and a multi-injection...
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