Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature

PV de Campos Souza - Applied soft computing, 2020 - Elsevier
This paper presents a review of the central theories involved in hybrid models based on
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …

An advanced interpretable fuzzy neural network model based on uni-nullneuron constructed from n-uninorms

PV de Campos Souza, E Lughofer - Fuzzy Sets and Systems, 2022 - Elsevier
This paper formulates a fuzzy logic neuron that uses n-uninorms to construct uni-
nullneurons. A fuzzy neural network (FNN) composed of these neurons is easy to operate …

Using resistin, glucose, age and BMI and pruning fuzzy neural network for the construction of expert systems in the prediction of breast cancer

VJ Silva Araújo, AJ Guimarães… - Machine Learning and …, 2019 - mdpi.com
Research on predictions of breast cancer grows in the scientific community, providing data
on studies in patient surveys. Predictive models link areas of medicine and artificial …

IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment

M Abdar, VN Wijayaningrum, S Hussain… - Journal of medical …, 2019 - Springer
Wart disease (WD) is a skin illness on the human body which is caused by the human
papillomavirus (HPV). This study mainly concentrates on common and plantar warts. There …

[HTML][HTML] An interpretable evolving fuzzy neural network based on self-organized direction-aware data partitioning and fuzzy logic neurons

PV de Campos Souza, E Lughofer… - Applied Soft Computing, 2021 - Elsevier
This paper proposes the definition of the architecture of an evolving fuzzy neural network
based on self-organizing direction aware data partitioning through stochastic processes …

Decision tree-based methodology to select a proper approach for wart treatment

MM Ghiasi, S Zendehboudi - Computers in biology and medicine, 2019 - Elsevier
The human papillomaviruses (HPVs) can be responsible for various types of benign tumors
called warts. Although warts can grow on all parts of the human body, common warts and …

Data density-based clustering for regularized fuzzy neural networks based on nullneurons and robust activation function

PV de Campos Souza, LCB Torres, AJ Guimaraes… - Soft Computing, 2019 - Springer
This paper proposes the use of fuzzification functions based on clustering of data based on
their density to perform the granularization of the input space. The neurons formed in this …

A hybrid approach of intelligent systems to help predict absenteeism at work in companies

VS Araujo, TS Rezende, AJ Guimarães, VJS Araujo… - SN Applied …, 2019 - Springer
In recent years, several surveys have been conducted on absenteeism and how this affects
the routine of conducting productive operations in companies. Therefore, having criteria for …

Applying particle swarm optimization-based decision tree classifier for wart treatment selection

J Hu, X Ou, P Liang, B Li - Complex & Intelligent Systems, 2021 - Springer
Wart is a disease caused by human papillomavirus with common and plantar warts as
general forms. Commonly used methods to treat warts are immunotherapy and cryotherapy …

[PDF][PDF] Wart treatment decision support using support vector machine

M Rahman, Y Zhou, S Wang, J Rogers - International Journal of …, 2020 - academia.edu
Warts are noncancerous benign tumors caused by the Human Papilloma Virus (HPV). The
success rates of cryotherapy and immunotherapy, two common treatment methods for …