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Memristive Neuro-Fuzzy System

IEEE Transactions on Cybernetics, 2013
In this paper, a novel neuro-fuzzy computing system is proposed where its learning is based on the creation of fuzzy relations by using a new implication method without utilizing any exact mathematical techniques. Then, a simple memristor crossbar-based analog circuit is designed to implement this neuro-fuzzy system which offers very interesting ...
Farnood Merrikh-Bayat   +1 more
exaly   +3 more sources

Neuro-fuzzy systems for diagnosis

Fuzzy Sets and Systems, 1997
Abstract Knowledge-based fault detection and diagnosis is described from the analytic and heuristic symptom generation to diagnostic reasoning. The extension of the knowledge-based approach by adaptive neural networks allows us to tune the knowledge base in order to investigate undetermined parameters just as membership functions, relevance weights ...
Mihiar Ayoubi, Rolf Isermann
openaire   +1 more source

A neuro-fuzzy system for inferencing

International Journal of Intelligent Systems, 1999
We justify the need for a connectionist implementation of compositional rule of inference (COI) and propose a network architecture for the same. We call it COIN-the compositional rule of inferencing. Given a relational representation of a set of rules, the proposed architecture can realize the COI.
Kuhu Pal, Nikhil R. Pal
openaire   +2 more sources

Design of experiments in neuro-fuzzy systems

Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 2005
Interest in hybrid methods that combine artificial neural networks and fuzzy inference systems has grown in recent years. These systems are robust solutions that search for representations of domain knowledge, reasoning on uncertainty, automatic learning and adaptation.
Cleber Zanchettin   +2 more
openaire   +1 more source

On Designing of Neuro-Fuzzy Systems

2004
This paper presents a new method to design the neuro-fuzzy systems. The procedure is composed of several separated techniques such as the WTA algorithm developed for fuzzy sets, learning from exceptions and the gradient learning for neuro-fuzzy systems.
Robert Nowicki   +2 more
openaire   +1 more source

Hierarchical Neuro-Fuzzy Systems

2003
Robot audition in the real world should cope with environment noises and reverberation and motor noises caused by the robot's own movements. This paper presents the active direction-pass filter (ADPF) to separate sounds originating from the specified direction with a pair of microphones. The ADPF is implemented by hierarchical integration of visual and
Marley M. B. R. Vellasco   +2 more
openaire   +1 more source

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