2015
DOI: 10.14257/ijhit.2015.8.11.30
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Abstract: In this paper we presented an architecture and basic learning process underlying in fuzzy inference system and adaptive neuro fuzzy inference system which is a hybrid network implemented in framework of adaptive network. In real world computing environment, soft computing techniques including neural network, fuzzy logic algorithms have been widely used to derive an actual decision using given input or output data attributes, ANFIS can construct mapping based on both human knowledge and hybrid learning algorith… Show more

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Cited by 6 publications
(3 citation statements)
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References 12 publications
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“…Network based fuzzy systems combine the merits of connectionist neural networks and fuzzy approaches as a soft computing component, and rule generation from ANN has become popular due to its capability of providing some insight to the user about the knowledge embedded within the network [13]. Hybrid models are important when considering wide range of application domains.…”
Section: Architecture Of Neuro Fuzzy Systemsmentioning
confidence: 99%
“…Network based fuzzy systems combine the merits of connectionist neural networks and fuzzy approaches as a soft computing component, and rule generation from ANN has become popular due to its capability of providing some insight to the user about the knowledge embedded within the network [13]. Hybrid models are important when considering wide range of application domains.…”
Section: Architecture Of Neuro Fuzzy Systemsmentioning
confidence: 99%
“…Mamdani system is adopted during analysis due to its capability to describe expertise knowledge in more intuitive and similar to a human like operator. Also, Mamdani type systems are capable of handling substantial burden [12]. The output i.e.…”
Section: System Modelling and Workingmentioning
confidence: 99%
“…Based on that research, the proposed method can perform a better accuracy for glaucoma detection that neural network and support vector machine classifier (SVM). ANFIS have already successfully used to develop a decision support system in many medical fields to diagnose and monitor a various disease [11].…”
Section: Introductionmentioning
confidence: 99%