As one of the three pillars in computational intelligence, fuzzy systems are a powerful
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …

In recent years, increasing demands for more efficient high speed milling (HSM) processes
have propelled the application and development of more effective modeling methods and …

Gear systems (or gearboxes) are widely used in rotating machinery. Reliable gear fault
diagnostic techniques and systems are critically needed to provide early warning of a …

Wind energy is considered one of the fastest growing renewable ('green') energy resources.
Precise wind power forecasting is imperative to ensure reliable power system planning and …

The evolving fuzzy technique is a recent development in the soft-computing field that has
shown some promising results in applications such as control, classification, and short-term …

This paper proposes a new methodology for modelling based on an evolving Neuro-Fuzzy
Takagi–Sugeno (NF-TS) network used for seasonal time series forecasting. The NF-TS …

A new regulated boosting technique, rBoost, is proposed in this work for time series forecast
and material fatigue property prognosis. The rBoost employs the principle of ensemble …

The efficiency of Networks on Chip (NoC) is affected by related routing algorithms.
Moreover, clustering can be utilized to improve the performance of the related routing …

Network-on-Chip (NoC) has an efficient on-chip communication solution for Chip Multi-
Processors (CMPs) in order to overcome traditional bus connections. One of the …

In this article, we describe the research area of evolving systems starting with a brief history,
the basic concepts, and definitions and moving to classes of evolving systems. We further …