An Integrated Stochastic Configuration Network Based on Fuzzy Transformation
Fei Teng, Degang Wang, Wei Zhou · 2023
In this paper, fuzzy transformation is considered to modify stochastic configuration network for data regression. Firstly, the mathematical representation for stochastic configuration network based on fuzzy transformation, named FTSCN, is deduced. Then, the parameter learning algorithm for FTSCN is obtained. Further, the ensemble scheme is applied to improve the performance of FTSCN. Some simulation experiments in the benchmark datasets show the effectiveness of the designed model.