The age of online data stream and dynamic environments results in the increasing demand
of advanced machine learning techniques to deal with concept drifts in large data streams …

The proposal of a meta-cognitive learning machine that embodies the three pillars of human
learning: what-to-learn, how-to-learn, and when-to-learn, has enriched the landscape of …

In this study, we propose a concept of fuzzy wavelet polynomial neural networks (FWPNNs)
based on concepts and constructs of polynomial neural networks and fuzzy wavelet neurons …

This study presents the design of the recognition system that will discriminate between
healthy people and people with Parkinson's disease. A diagnosing of Parkinson's diseases …

In this paper, an intelligent adaptive tracking control system (IATCS) based on the mixed H
2/H∞ approach for achieving high precision performance of a two-axis motion control …

In this paper a hybrid computational intelligent approach of combining kernel methods with
wavelet Multi-resolution Analysis (MRA) is presented for fuzzy wavelet network construction …

In this paper, an intelligent adaptive tracking control system (IATCS) based on the mixed H
2/H∞ approach under uncertain plant parameters and external disturbances for achieving …

Frequently the reliabilities of the linguistic values of the variables in the rule base are
becoming important in the modeling of fuzzy systems. Taking into consideration the …

Detecting faults induction machines is crucial for a safe operation of these machines. The
aim of this paper is to present a statistical fault detection methodology for the detection of …

Due to the fact that the fluctuation of network traffic is affected by various factors, accurate
prediction of network traffic is regarded as a challenging task of the time series prediction …