Recent studies have demonstrated that correntropy is an efficient tool for analyzing higher
order statistical moments in non-Gaussian noise environments. Although correntropy has …

The identification of nonlinear terms existing in the dynamic model of real-world mechanical
systems such as robotic manipulators is a challenging modeling problem. The main aim of …

In past years, the system identification area has emphasized the identification of nonlinear
dynamic systems. In this field, polynomial nonlinear autoregressive with exogenous (NARX) …

Fuzzy neural networks, with suitable learning strategy, have been demonstrated as an
effective tool for online data modeling. However, it is a challenging task to construct a model …

In this paper, the integration of Type-2 fuzzy set theory and recurrent wavelet neural network
(WNN) is proposed to allow managing of non-uniform uncertainties for identifying non-linear …

Extraction of meaningful information by using artificial neural networks, where the focus is
upon developing new insights for sports performance and supporting decision making, is …

Nas tradicionais análises acerca da decisão da Coroa portuguesa de instituir uma
administração centralizada para sua colônia americana, um aspecto tem sido …

Data telemetry is a critical element of successful unconventional well drilling operations,
involving the transmission of information about the well-surrounding geology to the surface …

In this study, a novel adaptive hybrid fuzzy system‐wavelet neural network (FS‐WNN)
approximator is developed for control of uncertain non‐linear multiple‐inputs and multiple …