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

Daniel França; Manuella Aschoff; Tiago França; Danniel Macedo; Vitor França; Lucidio Cabral; Alisson Brito; Clauirton Siebra; Tiago Araujo

doi:10.5334/jors.638

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

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