Results 201 to 210 of about 51,928 (231)
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1998
This paper is about so-called neuro-fuzzy systems, which combine methods from neural network theory with fuzzy systems. Such combinations have been considered for several years already. However, the term neuro-fuzzy still lacks proper definition, and still has the flavour of a buzzword to it.
Rudolf Kruse, Detlef Nauck
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This paper is about so-called neuro-fuzzy systems, which combine methods from neural network theory with fuzzy systems. Such combinations have been considered for several years already. However, the term neuro-fuzzy still lacks proper definition, and still has the flavour of a buzzword to it.
Rudolf Kruse, Detlef Nauck
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NEURO-FUZZY STRUCTURES IN FDI SYSTEM
IFAC Proceedings Volumes, 2002Abstract Fault diagnosis systems have an important role in industrial plants because the early fault detection and isolation (FDI) can minimize damages in the plants. The main aim of this work is to propose a two-stage neuro-fuzzy approach as a fault diagnosis system in dynamic processes.
Mendes, Mário J. G. C. +3 more
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2009
Fuzzy logic became the core of a different approach to computing. Whereas traditional approaches to computing were precise, or hard edged, fuzzy logic allowed for the possibility of a less precise or softer approach (Klir et al., 1995, pp. 212-242). An approach where precision is not paramount is not only closer to the way humans thought, but may be in
Larbi Esmahi +2 more
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Fuzzy logic became the core of a different approach to computing. Whereas traditional approaches to computing were precise, or hard edged, fuzzy logic allowed for the possibility of a less precise or softer approach (Klir et al., 1995, pp. 212-242). An approach where precision is not paramount is not only closer to the way humans thought, but may be in
Larbi Esmahi +2 more
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Neuro-fuzzy systems in medicine
2010 11th International Symposium on Computational Intelligence and Informatics (CINTI), 2010Neuro-fuzzy systems are widely used in both applied and experimental medicine and are one of the most modern subjects of today's Medical Informatics. Despite the initial refuse of their use due to informatical, economical, educational and other reasons, these systems are widely accepted in medical institutions operating in all levels of healthcare. The
Andor Sagi +3 more
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Superior neuro-fuzzy classification systems
Neural Computing and Applications, 2012Although adaptive neuro-fuzzy inference system (ANFIS) has very fast convergence time, it is not suitable for classification problems because its outputs are not integer. In order to overcome this problem, this paper provides four adaptive neuro-fuzzy classifiers; adaptive neuro-fuzzy classifier with linguistic hedges (ANFCLH), linguistic hedges neuro ...
Ahmad Taher Azar, Shaimaa Ahmed El-Said
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Hierarchical Neuro-Fuzzy Systems Part I
2009Neuro-fuzzy [Jang,1997][Abraham,2005] are hybrid systems that combine the learning capacity of neural nets [Haykin,1999] with the linguistic interpretation of fuzzy inference systems [Ross,2004]. These systems have been evaluated quite intensively in machine learning tasks.
Marley Vellasco +3 more
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The neuro-fuzzy system has gotten the great attention of researchers in numerous scientific areas due to its practical reasoning and learning capabilities. This chapter aims to help researchers to get a brief overview of the fuzzy sets and the related operations.
Zeinalnezhad, Masoomeh +2 more
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Zeinalnezhad, Masoomeh +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
M. Vellasco, M. Pacheco, K. Figueiredo
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INDEPENDENT NEURO-FUZZY CONTROL SYSTEM
IFAC Proceedings Volumes, 2005Abstract The neuro fuzzy system based on two independent structures is described, the first a neuro-observer system developed by use of dynamical neural networks, and the second as the control system based on fuzzy logic system. These structures are described by independent way and their properties are analyzed.
Agustín I. Cabrera +2 more
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NEURO-FUZZY SYSTEMS: Learning Models
International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), 2006The goal of this research is the analysis of learning models by using of arithmetic operations applied in a neuro-fuzzy system (NFS). The research integrates the concepts between artificial neural network (ANN) and the fuzzy sets theory (FST). In order to assess the validity of the proposal, an FNS is proposed to diagnose paroxysmal events involving ...
L.F. de Carvalho +4 more
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