Online Nonlinear Bagging Using a Neuro-Neo-Fuzzy Approach for Data Stream Mining
This paper investigates bagging ensemble models and methods that enable the online aggregation of results from individual ensemble members. The primary objective is to design a computationally efficient metamodel capable of real-time parameter adaptation. To achieve this, the study focuses on developing the architectur...