DENFISDynamic Evolving Neuro-Fuzzy Inference System
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The evaluation of the system involved selection of the MF and comparing k-ANFIS performance against performance of ANFIS and DENFIS.
Classification performance of k-ANFIS, ANFIS, and DENFIS Fold# RMSE NMSE MAE SMAPE System: k-ANFIS 1 0.
What is more, in order to estimate the accuracy of predictions, the DENFIS model outputs three result parameters:
Based on parametric sensitivity analysis, it was found that the optimal DENFIS parametric values for this problem are: Dthr = 0.
6 Sample rule extracted from DENFIS prediction model Rule 1: if X1 is GaussianMF ( 0.