Results 141 to 150 of about 63,417 (204)
Smart Irrigation with Fuzzy Decision Support Systems in Trentino Vineyards. [PDF]
Silvestri R +3 more
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Self-learning adaptive neuro-fuzzy approximation of robust control behavior in electric power steering systems. [PDF]
Nguyen TA +4 more
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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
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, 1997Abstract 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
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A neuro-fuzzy system for inferencing
International Journal of Intelligent Systems, 1999We 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
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Design of experiments in neuro-fuzzy systems
Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 2005Interest 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
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On Designing of Neuro-Fuzzy Systems
2004This 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
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Hierarchical Neuro-Fuzzy Systems
2003Robot 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
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