Fuzzy min–max neural networks: a bibliometric and social network analysis

ÖN Kenger, E Özceylan - Neural Computing and Applications, 2023 - Springer
The amount of digital data in the universe is growing at an exponential rate with the rapid
development of digital information, and this reveals new machine learning methods …

Hyperbox-based machine learning algorithms: a comprehensive survey

TT Khuat, D Ruta, B Gabrys - Soft Computing, 2021 - Springer
With the rapid development of digital information, the data volume generated by humans
and machines is growing exponentially. Along with this trend, machine learning algorithms …

Survey of fuzzy min–max neural network for pattern classification variants and applications

ON Al Sayaydeh, MF Mohammed… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Over the last few decades, pattern classification has become one of the most important fields
of artificial intelligence because it constitutes an essential component in many different real …

Доклады Томского государственного университета систем управления и радиоэлектроники

ЕС ЖЕЧЕВ, ИА ИВАНЦОВ, АС КОЗИНЕЦ - … СИСТЕМ УПРАВЛЕНИЯ И …, 2022 - elibrary.ru
Для повышения функциональной безопасности радиоэлектронной аппаратуры
прибегают к резервированию ее блоков, узлов и межсоединений. В отличие от широко …

Incorporating Unsupervised and Semi-supervised Learning in Min-Max Neuron Network for Clustering Data

LA Tu, VD Thai, VD Minh - … Research and Application: Proceedings of the …, 2019 - Springer
This paper proposes an improved fuzzy min-max neural network for data clustering. The
proposed model incorporates both unsupervised and semi-supervised methods during …

[PDF][PDF] INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY ONLINE SIGNATURE VERIFICATION USING NORMALIZED …

M Trikha, M Dutta - academia.edu
Handwritten signature verification system is most widely used in any financial and other
documentation activities for authorization of identity of any human activity, but still these …