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 …

With increasing demands for efficiency and product quality plus progress in the integration of
automatic control systems in high-cost mechatronic and safety-critical processes, the field of …

Image classification is an issue that utilizes image processing, pattern recognition and
classification methods. Automatic medical image classification is a progressive area in …

Fuzzy sets were first proposed by Lotfi Zadeh in his seminal paper [366] in 1965, and ever
since have been a center of many discussions, fervently admired and condemned. Both …

The integration of neural networks and fuzzy inference systems could be formulated into
three main categories: cooperative, concurrent and integrated neuro-fuzzy models. We …

1995. Fuzzy sets were introduced by Zadeh (1965) as a means of representing and
manipulating data that was not precise, but rather fuzzy. Fuzzy logic provides an inference …

Neuro-fuzzy systems have recently gained a lot of interest in research and application.
Neuro-fuzzy models as we understand them are fuzzy systems that use local learning …

This paper examines the area, power, performance, and design issues for the on-chip
interconnects on a chip multiprocessor, attempting to present a comprehensive view of a …

Fuzzy sets were introduced by Zadeh (1965) as a means of representing and manipulating
data that was not precise, but rather fuzzy. Fuzzy logic pro vides an inference morphology …

Abstract Fuzzy Logic Controllers are a specific model of Fuzzy Rule Based Systems suitable
for engineering applications for which classic control strategies do not achieve good results …