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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.
Highly Cited
2017
Highly Cited
2017
Prediction of biochar yield using adaptive neuro-fuzzy inference system with particle swarm optimization
This paper proposed an intelligent approach to predict the biochar yield. The biochar is an important renewable energy that… 
Highly Cited
2012
Highly Cited
2012
A NEURO FUZZY EXPERT SYSTEM FOR HEART DISEASE DIAGNOSIS
Heart disease in India is one of the major causes of death. This disease is common not only in old and middle aged people but… 
Highly Cited
2010
Highly Cited
2010
Adaptive Neuro-Fuzzy Systems
One benefit of fuzzy systems (Zadeh, 1965; Ruspini et al., 1998; Cox, 1994) is that the rule base can be created from expert… 
Highly Cited
2008
Highly Cited
2008
Numerical solution of a system of fuzzy polynomials by fuzzy neural network
Highly Cited
2007
Highly Cited
2007
Rainfall‐runoff modeling through hybrid intelligent system
This study explores the potential of integrating two different artificial intelligence techniques, namely neural network and… 
Highly Cited
2003
Highly Cited
2003
Dynamical optimal training for interval type-2 fuzzy neural network (T2FNN)
Type-2 fuzzy logic system (FLS) cascaded with neural network, called type-2 fuzzy neural network (T2FNN), is presented in this… 
Highly Cited
2001
Highly Cited
2001
Hybrid control using recurrent fuzzy neural network for linear induction motor servo drive
A hybrid control system using a recurrent fuzzy neural network (RFNN) is proposed to control a linear induction motor (LIM) servo… 
Highly Cited
2000
Highly Cited
2000
Soft computing for autonomous robotic systems
Highly Cited
1997
Highly Cited
1997
Destruction of cyanobacterial toxins by semiconductor photocatalysis
The rapid destruction of microcystin, a cyanobacterial toxin, using a titanium dioxide photocatalyst is observed; the process is… 
Highly Cited
1993
Highly Cited
1993
A fuzzy neural network learning fuzzy control rules and membership functions by fuzzy error backpropagation
  • D. NauckR. Kruse
  • IEEE International Conference on Neural Networks
  • 1993
  • Corpus ID: 58070646
A kind of neural network architecture designed for control tasks is presented. It is called the fuzzy neural network. The… 
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