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PyTorch-based toolbox for designing, training, and analyzing ANFIS-based neuro-fuzzy models. Includes classical and rule-reduced ANFIS variants, hybrid and optimizer-based training strategies, SONFIS structural adaptation, and rule-inspection utilities.
pip install neuro-fuzzy-toolbox
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=3.10>=2.2>=2.2>=2.5neuro-fuzzy-toolbox publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .