Evolving systems unfolds from the interaction and cooperation between systems with
adaptive structures, and recursive methods of machine learning. They construct models and …

Major assumptions in computational intelligence and machine learning consist of the
availability of a historical dataset for model development, and that the resulting model will, to …

Variations in the high cycle fatigue response of laser powder bed fusion materials can be
caused by the choice of processing and post-processing strategies. The numerous …

In this paper, an online self-organizing fuzzy modified least-square (SOFMLS) network is
proposed. The algorithm has the ability to reorganize the model and adapt itself to a …

Increasing demands on effluent quality and loads call for an improved control, monitoring,
and fault detection of waste-water treatment plants (WWTPs). Improved control and …

In this study, we propose a cluster-oriented development of fuzzy models. An overall design
process is focused on an efficient usage of fuzzy clustering, Fuzzy C-Means (FCM), in …

An alternative method of maximum ground surface settlement prediction, which is based on
integration between wavelet theory and Artificial Neural Network (ANN), or wavelet network …

Hyper-plane-shaped clustering (HPSC) has been demonstrated to be more effective in
Takagi-Sugeno (TS) fuzzy model identification compared to hyper-sphere-shaped …

In this paper an on-line fuzzy identification of Takagi Sugeno fuzzy model is presented. The
presented method combines a recursive Gustafson–Kessel clustering algorithm and the …

Abstract Machine health condition (MHC) prediction is useful for preventing unexpected
failures and minimizing overall maintenance costs in condition-based maintenance. The …