Krzysztof Siminski
Abstract:
The paper presents «Neuro-Fuzzy Library» (NFL) -- a free library for fuzzy and neuro-fuzzy systems. The library written in C++ is available from the GitHub repository. The library implements data modifiers (for complete and incomplete data), clustering algorithms, fuzzy systems (descriptors, t-norms, premises, consequences, rules, and implications), neuro-fuzzy systems (precomposed MA, TSK, ANNBFIS, and subspace ANNBFIS for both classification and regression tasks). The paper is accompanied by numerical examples.
Reference:
Krzysztof Siminski, NFL -- Free Library for Fuzzy and Neuro-Fuzzy Systems, [in] Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis (Stanisław Kozielski, Dariusz Mrozek, Paweł Kasprowski, Bożena Małysiak-Mrozek, Daniel Kostrzewa, eds.), Springer International Publishing, 2019, pp. 139-150.
Bibtex Entry:
@InProceedings{id:Siminski2019NFL,
author="Siminski, Krzysztof",
editor="Kozielski, Stanis{\l}aw and Mrozek, Dariusz and Kasprowski, Pawe{\l} and Ma{\l}ysiak-Mrozek, Bo{\.{z}}ena and Kostrzewa, Daniel",
title="NFL -- Free Library for Fuzzy and Neuro-Fuzzy Systems",
booktitle="Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="139--150",
abstract="The paper presents «Neuro-Fuzzy Library» (NFL) -- a free library for
fuzzy and neuro-fuzzy systems. The library written in C++ is available from
the GitHub repository. The library implements data modifiers (for complete and
incomplete data), clustering algorithms, fuzzy systems (descriptors, t-norms,
premises, consequences, rules, and implications), neuro-fuzzy systems
(precomposed MA, TSK, ANNBFIS, and subspace ANNBFIS for both classification
and regression tasks). The paper is accompanied by numerical examples.",
isbn="978-3-030-19093-4",
doi="https://doi.org/10.1007/978-3-030-19093-4_11"
}