Recent advances in neuro-fuzzy system: A survey
KV Shihabudheen, GN Pillai - Knowledge-Based Systems, 2018 - Elsevier
Neuro-fuzzy systems have attracted the growing interest of researchers in various scientific
and engineering areas due to its effective learning and reasoning capabilities. The neuro …
and engineering areas due to its effective learning and reasoning capabilities. The neuro …
Overview of explainable artificial intelligence for prognostic and health management of industrial assets based on preferred reporting items for systematic reviews and …
Surveys on explainable artificial intelligence (XAI) are related to biology, clinical trials,
fintech management, medicine, neurorobotics, and psychology, among others. Prognostics …
fintech management, medicine, neurorobotics, and psychology, among others. Prognostics …
Fuzzy broad learning system: A novel neuro-fuzzy model for regression and classification
A novel neuro-fuzzy model named fuzzy broad learning system (BLS) is proposed by
merging the Takagi-Sugeno (TS) fuzzy system into BLS. The fuzzy BLS replaces the feature …
merging the Takagi-Sugeno (TS) fuzzy system into BLS. The fuzzy BLS replaces the feature …
An interpretable dynamic inference system based on fuzzy broad learning
H Zhao, Y Wu, W Deng - IEEE Transactions on Instrumentation …, 2023 - ieeexplore.ieee.org
Fuzzy broad learning system (FBLS) is a fuzzy neural model proposed in recent years,
which combines the efficient performance of broad learning and the interpretability of fuzzy …
which combines the efficient performance of broad learning and the interpretability of fuzzy …
A study on arrhythmia via ECG signal classification using the convolutional neural network
M Wu, Y Lu, W Yang, SY Wong - Frontiers in computational …, 2021 - frontiersin.org
Cardiovascular diseases (CVDs) are the leading cause of death today. The current
identification method of the diseases is analyzing the Electrocardiogram (ECG), which is a …
identification method of the diseases is analyzing the Electrocardiogram (ECG), which is a …
COVID-19 detection system using chest CT images and multiple kernels-extreme learning machine based on deep neural network
M Turkoglu - Irbm, 2021 - Elsevier
Objectives Coronavirus disease is a fatal epidemic that has originated in Wuhan, China in
December 2019. This disease is diagnosed using radiological images taken with the help of …
December 2019. This disease is diagnosed using radiological images taken with the help of …
Fault diagnosis based on weighted extreme learning machine with wavelet packet decomposition and KPCA
Q Hu, A Qin, Q Zhang, J He, G Sun - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
Fault diagnosis has received considerable attention because its implementation can
effectively prevent costly and even catastrophic downtime. However, quickly identifying …
effectively prevent costly and even catastrophic downtime. However, quickly identifying …
[HTML][HTML] Neuro-fuzzy systems in construction engineering and management research
Neuro-fuzzy systems (NFS) can explicitly represent and model the input–output
relationships of complex problems and non-linear systems, like those inherent in real-world …
relationships of complex problems and non-linear systems, like those inherent in real-world …
A data-knowledge-driven interval type-2 fuzzy neural network with interpretability and self-adaptive structure
Interval type-2 fuzzy neural networks (IT2FNNs) have gained sustainable attention and wide
applications because of their power of adaptive fuzzy modeling. Although the existing …
applications because of their power of adaptive fuzzy modeling. Although the existing …
On the accuracy–complexity tradeoff of fuzzy broad learning system
The fuzzy broad learning system (FBLS) is a recently proposed neuro-fuzzy model that
shares the similar structure of a broad learning system (BLS). It shows high accuracy in both …
shares the similar structure of a broad learning system (BLS). It shows high accuracy in both …