Improving the robustness of recursive consequent parameters learning in evolving neuro-fuzzy systems

The results based on accumulated prediction error trends over time indicate that RFWLS can be largely outperformed by the proposed alternative variants, and this with even lower sensitivity on various data noise levels. So, the proposed variants could be worth of being further considered as promising and serious alternatives.