This paper presents a review of the central theories involved in hybrid models based on
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …

Over the past decade, hydrocarbon production from shale oil reservoirs has become
increasingly common, and successful shale oil exploration and development depends …

Clinical image processing plays a significant role in healthcare systems and is currently a
widely used methodology. In carcinogenic diseases, time is crucial; thus, an image's …

This paper proposes a hybrid architecture based on neural networks, fuzzy systems, and n-
uninorms for solving pattern classification problems, termed as ENFS-Uni0 (short for …

Interpretability in intelligent models becomes a challenge in academic research and
approaches that facilitate understanding the responses obtained in models based on …

Data stream classification processes with neuro-fuzzy approaches may involve situations
where uncertainties arise, which may directly interfere with the quality of the results of the …

This paper proposes the definition of the architecture of an evolving fuzzy neural network
based on self-organizing direction aware data partitioning through stochastic processes …

Through an analysis of the kinematics and dynamics relations between the target
positioning of manipulator joint angles of an apple-picking robot, the sliding-mode control …

This paper presents a new evolving intelligent model capable of combining the techniques
and concepts of artificial neural networks, fuzzy systems and artificial hydrocarbon networks …

In recent years, several surveys have been conducted on absenteeism and how this affects
the routine of conducting productive operations in companies. Therefore, having criteria for …