ANFIS: adaptive-network-based fuzzy inference system

Jyh‐Shing Roger Jang · IEEE Transactions on Systems Man and Cybernetics · 1993

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Author / responsible party

Jyh‐Shing Roger Jang

Publisher

IEEE Transactions on Systems Man and Cybernetics

Year

1993

Language

English

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The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference system implemented in the framework of adaptive networks. By using a hybrid learning procedure, the proposed ANFIS can construct an input-output mapping based on both human knowledge (in the form of fuzzy if-then rules) and stipulated input-output data pairs. In the simulation, the ANFIS architecture is employed to model nonlinear functions, identify nonlinear components on-line in a control system, and predict a chaotic time series, all yielding remarkable results. Comparisons with artificial neural networks and earlier work on fuzzy modeling are listed and discussed. Other extensions of the proposed ANFIS and promising applications to automatic control and signal processing are also suggested.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

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APA 7

Jang, J. R. (1993). ANFIS: adaptive-network-based fuzzy inference system. https://doi.org/10.1109/21.256541

MLA

Jang, Jyh‐Shing Roger. "ANFIS: adaptive-network-based fuzzy inference system." 1993. https://doi.org/10.1109/21.256541.

Chicago

Jang, Jyh‐Shing Roger. 1993. "ANFIS: adaptive-network-based fuzzy inference system.". https://doi.org/10.1109/21.256541.

Harvard

Jang, J. R. 1993, ANFIS: adaptive-network-based fuzzy inference system, IEEE Transactions on Systems Man and Cybernetics, available at: https://doi.org/10.1109/21.256541 [Accessed 7 Aug. 2026].

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Title: ANFIS: adaptive-network-based fuzzy inference system

Author / contributors: Jyh‐Shing Roger Jang

Publisher: IEEE Transactions on Systems Man and Cybernetics

Publication year: 1993

Language: English

Subjects

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Adaptive neuro fuzzy inference system; Computer science; Artificial intelligence; Neuro-fuzzy; Artificial neural network; Inference system; Fuzzy logic; Nonlinear system; Machine learning; Fuzzy control system; Fuzzy inference system; Data mining