Autonomous learning for fuzzy systems: a review

X Gu, J Han, Q Shen, PP Angelov - Artificial Intelligence Review, 2023 - Springer
As one of the three pillars in computational intelligence, fuzzy systems are a powerful
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …

[HTML][HTML] Explaining deep learning-based driver models

MPS Lorente, EM Lopez, LA Florez, AL Espino… - Applied Sciences, 2021 - mdpi.com
Different systems based on Artificial Intelligence (AI) techniques are currently used in
relevant areas such as healthcare, cybersecurity, natural language processing, and self …

An online unsupervised machine learning approach to detect driving related events

M Silva, T Flores, P Andrade, J Silva… - IECON 2022–48th …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) paradigm has fostered several transformations in various
industrial sectors, with important improvements in the automotive industry. Actually, the …

Multiobjective Evolutionary Optimization for Prototype-Based Fuzzy Classifiers

X Gu, M Li, L Shen, G Tang, Q Ni… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Evolving intelligent systems (EISs), particularly, the zero-order ones have demonstrated
strong performance on many real-world problems concerning data stream classification …

Uma metodologia orientada a fluxo de dados para modelagem do comportamento de motoristas

MBD Silva - 2022 - repositorio.ufrn.br
Resumo A Internet das Coisas (IoT, do inglês Internet of Things) é uma rede crescente de
objetos—sensores, dispositivos, sistemas, entre outros—que capturam, transferem dados e …

An incremental approach to forecasting and classification of taxi demand based on evolving fuzzy systems

LF Linhares, AM da Silva… - Journal of Intelligent & …, 2023 - content.iospress.com
Private transport has become a viable and increasingly popular alternative to urban
transportation. However, with this growth, an old and recurring problem becomes more …

Incremental learning and state-space evolving fuzzy control of nonlinear time-varying systems with unknown model

D Leite, P Coutinho, I Bessa, M Camargos… - arXiv preprint arXiv …, 2021 - arxiv.org
We present a method for incremental modeling and time-varying control of unknown
nonlinear systems. The method combines elements of evolving intelligence, granular …

[HTML][HTML] Methods and techniques for analyzing human factors facets on drivers

BOS Siale - 2022 - dialnet.unirioja.es
Con millones de coches desplazándose diariamente, la conducción es la actividad más
realizada en todo el mundo. Desgraciadamente, según la Organización Mundial de la Salud …

[PDF][PDF] Autonomous Learning for Fuzzy Systems

X Gu, J Han, Q Shen, P Angelov - 2022 - pure.aber.ac.uk
As one of the three pillars in computational intelligence, fuzzy systems are a powerful
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …