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This work introduces ANFIS-Toolbox, aimed at providing tools for adaptive neuro-fuzzy systems.

March 4, 2026Open Access

ANFIS-Toolbox: A Python Package for Adaptive Neuro-Fuzzy Inference Systems

Key Points

This work introduces ANFIS-Toolbox, aimed at providing tools for adaptive neuro-fuzzy systems.
Developed as an open-source Python package.
Includes ANFISRegressor and ANFISClassifier for high-level estimations.
Supports various membership function families and training strategies.
Facilitates both regression and classification tasks with minimal external dependencies.
Enables the use of classic hybrid learning and modern optimizers like Adam.

Abstract

ANFIS-Toolbox is an open-source Python package that implements the Adaptive Neuro-Fuzzy Inference System (ANFIS). It provides high-level estimators (ANFISRegressor and ANFISClassifier) featuring an application programming interface (API) consistent with that of scikit-learn, while maintaining minimal external dependencies. The package supports various membership function families and training strategies, including the classic hybrid learning procedure alongside modern gradient-based optimizers like Adam. Its modular architecture allows for easy extension. ANFIS-Toolbox is openly available on GitHub under the MIT license and is well-suited for regression and classification tasks in research and teaching environments.

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França et al. (Thu,) studied this question.

synapsesocial.com/papers/69a7ccb2d48f933b5eed86d2 https://doi.org/https://doi.org/10.5334/jors.638

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