Who Cited It

ANFIS: adaptive-network-based fuzzy inference system

1993 · IEEE Transactions on Systems Man and Cybernetics · 16,303 citations · 4 from inside this corpus

Jyh‐Shing Roger Jang

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

ANFIS: adaptive-network-based fuzzy inference system (1993)ANFIS: adaptive-network-based…A New Approach to Linear Filtering and Prediction Problems (1960)A New Approach to Linear Filt…Fuzzy identification of systems and its applications to modeling and control (1985)Fuzzy identification of syste…Learning Internal Representations by Error Propagation (1985)Learning Internal Representat…Outline of a New Approach to the Analysis of Complex Systems and Decision Processes (1973)Outline of a New Approach to …Identification and control of dynamical systems using neural networks (1990)Identification and control of…Fuzzy logic in control systems: fuzzy logic controller. I (1990)Fuzzy logic in control system…Fast Learning in Networks of Locally-Tuned Processing Units (1989)Fast Learning in Networks of …Orthogonal least squares learning algorithm for radial basis function networks (1991)Orthogonal least squares lear…Fuzzy basis functions, universal approximation, and orthogonal least-squares learning (1992)Fuzzy basis functions, univer…Structure identification of fuzzy model (1988)Structure identification of f…The Cascade-Correlation learning architecture (2018)The Cascade-Correlation learn…Adaptive pattern recognition and neural networks (1989)Adaptive pattern recognition …Fuzzy logic in control systems : fuzzy logic controller. Part II (1990)Fuzzy logic in control system…Fuzzy Model Identification Based on Cluster Estimation (1994)Fuzzy Model Identification Ba…Computational Intelligence: An Introduction (2006)Computational Intelligence: A…Interval type-2 fuzzy logic systems: theory and design (2000)A Survey on Analysis and Design of Model-Based Fuzzy Control Systems (2006)A Survey on Analysis and Desi…
17 of 17 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
A New Approach to Linear Filtering and Prediction Problems196031,488
Fuzzy identification of systems and its applications to modeling and control198519,555
Learning Internal Representations by Error Propagation198516,273
Outline of a New Approach to the Analysis of Complex Systems and Decision Processes19738,748
Identification and control of dynamical systems using neural networks19908,037
Fuzzy logic in control systems: fuzzy logic controller. I19905,629
Fast Learning in Networks of Locally-Tuned Processing Units19894,230
Orthogonal least squares learning algorithm for radial basis function networks19913,373
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning19922,800
Structure identification of fuzzy model19882,716
The Cascade-Correlation learning architecture20182,401
Adaptive pattern recognition and neural networks19892,326
Fuzzy logic in control systems : fuzzy logic controller. Part II19902,227

What cites it, inside the corpus

PaperYearCited
Fuzzy Model Identification Based on Cluster Estimation19942,789
Computational Intelligence: An Introduction20062,040
Interval type-2 fuzzy logic systems: theory and design20001,994
A Survey on Analysis and Design of Model-Based Fuzzy Control Systems20061,670

Links

DOI · OpenAlex record

Topics

Fuzzy Logic and Control SystemsComputer Science
Neural Networks and ApplicationsComputer Science
Fault Detection and Control SystemsEngineering

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complete

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  • supports1 author record(s) attached.
  • supports58 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

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