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Neuro-fuzzy

Known as: Fuzzy neural network 
In the field of artificial intelligence, neuro-fuzzy refers to combinations of artificial neural networks and fuzzy logic. Neuro-fuzzy was proposed… 
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Related topics

Related topics

21 relations
AlgorithmAlgorithmic inferenceArtificial neural networkCluster analysis

Broader (1)

Artificial intelligence

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
Adaptive Neuro-Fuzzy Inference System: Overview, Strengths, Limitations, and Solutions
Adaptive neuro-fuzzy inference system (ANFIS) is efficient estimation model not only among neuro-fuzzy systems but also various… 
Review
2015
Review
2015
ANFIS: Adaptive Neuro-Fuzzy Inference System- A Survey
paper, we presented the architecture and basic learning process underlying ANFIS (adaptive-network-based fuzzy inference system… 
Highly Cited
2010
Highly Cited
2010
Prediction of Pavement Performance through Neuro‐Fuzzy Reasoning
Abstract:  Government agencies and consulting companies in charge of pavement management face the challenge of maintaining… 
Review
2010
Review
2010
Landslide Susceptibility Mapping by Neuro-Fuzzy Approach in a Landslide-Prone Area (Cameron Highlands, Malaysia)
This paper presents the results of the neuro-fuzzy model using remote-sensing data and geographic information system for… 
Highly Cited
2009
Highly Cited
2009
Speeding up the scaled conjugate gradient algorithm and its application in neuro-fuzzy classifier training
The aim of this study is to speed up the scaled conjugate gradient (SCG) algorithm by shortening the training time per iteration… 
Highly Cited
2008
Highly Cited
2008
Augmented Stable Fuzzy Control for Flexible Robotic Arm Using LMI Approach and Neuro-Fuzzy State Space Modeling
Designing the control strategy for a flexible robotic arm has long been considered a complex problem as it requires stabilizing… 
Highly Cited
2004
Highly Cited
2004
Neuro-fuzzy control of a robotic exoskeleton with EMG signals
We have been developing robotic exoskeletons to assist motion of physically weak persons such as elderly, disabled, and injured… 
Review
2003
Review
2003
Neuro-fuzzy methods for nonlinear system identification
Highly Cited
2000
Highly Cited
2000
Identification and control of dynamic systems using recurrent fuzzy neural networks
Proposes a recurrent fuzzy neural network (RFNN) structure for identifying and controlling nonlinear dynamic systems. The RFNN is… 
Highly Cited
1999
Highly Cited
1999
Introduction to neuro-fuzzy systems
Fuzzy Systems.- Artificial Neural Networks.- Fuzzy Neural Networks.- Appendix: Case study: A portfolio problem Exercises. 
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