A review on type-2 fuzzy neural networks for system identification
In many engineering problems, the systems dynamics are uncertain, and then, the accurate
dynamic modeling is required. Type-2 fuzzy neural networks (T2F-NNs) are extensively …
dynamic modeling is required. Type-2 fuzzy neural networks (T2F-NNs) are extensively …
Healthcare applications of artificial intelligence and analytics: a review and proposed framework
Healthcare is considered as one of the most promising application areas for artificial
intelligence and analytics (AIA) just after the emergence of the latter. AI combined to …
intelligence and analytics (AIA) just after the emergence of the latter. AI combined to …
A modified interval type-2 Takagi-Sugeno fuzzy neural network and its convergence analysis
In this paper, to compute the firing strength values of type-2 fuzzy models, a soft version of
minimum is presented, which endows the fuzzy model with the ability to solve large …
minimum is presented, which endows the fuzzy model with the ability to solve large …
Design and prediction of self-organizing interval type-2 fuzzy wavelet neural network
X Liu, T Zhao, J Cao, P Li - Information Sciences, 2024 - Elsevier
This paper presents a self-organizing interval type-2 fuzzy wavelet neural network
(SIT2FWNN) model for predicting and identifying nonlinear systems. Based on traditional …
(SIT2FWNN) model for predicting and identifying nonlinear systems. Based on traditional …
Interval type-2 fuzzy neural networks with asymmetric MFs based on the twice optimization algorithm for nonlinear system identification
J Liu, T Zhao, J Cao, P Li - Information Sciences, 2023 - Elsevier
This paper proposes a novel algorithm twice optimization for interval type-2 fuzzy neural
networks with asymmetric membership functions (TOIT2FNN-AMF), for nonlinear system …
networks with asymmetric membership functions (TOIT2FNN-AMF), for nonlinear system …
A type-2 fuzzy clustering and quantum optimization approach for crops image segmentation
Automatic detection of crop yield ripeness is a tedious task because of the presence of
various intensities of color in crops. One of the solutions to this problem is the monitoring of …
various intensities of color in crops. One of the solutions to this problem is the monitoring of …
Multilayer interval type-2 fuzzy controller design for quadcopter unmanned aerial vehicles using Jaya algorithm
This study presents a multilayer interval type-2 fuzzy controller for controlling quadcopter
unmanned aerial vehicles, and its main contribution is the design of a multilayer structure in …
unmanned aerial vehicles, and its main contribution is the design of a multilayer structure in …
Enhanced k-means clustering approach for diagnosis types of acne
C Hayat - 2021 2nd International Conference on Innovative and …, 2021 - ieeexplore.ieee.org
Acne is a skin disorder all humans almost have, both women and men. How to treat acne
properly determines how quick you will be acne-free. Still, the dependency on doctors in …
properly determines how quick you will be acne-free. Still, the dependency on doctors in …
Self-organizing interval type-2 fuzzy neural network with adaptive discriminative strategy
H Han, C Sun, X Wu, H Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Covariate shift is a critical issue of interval type-2 fuzzy neural networks (IT2FNNs) due to the
distribution discrepancy between training and testing samples. In this situation, IT2FNNs …
distribution discrepancy between training and testing samples. In this situation, IT2FNNs …
A new intelligent system for diagnosing tumors with MR images using type-2 fuzzy neural network (T2FNN)
V Rezaie, A Parnianifard - Multimedia Tools and Applications, 2022 - Springer
Early diagnosis of tumors can reduce mortality rates. Hence, tumor position, tumor area, and
tumor categories evaluation are also mandatory concerns for the proper medication. This …
tumor categories evaluation are also mandatory concerns for the proper medication. This …