Small samples noise prediction of train electric traction system fan based on a multiple regression-fuzzy neural network

T Li, X Wu, Y He, X Peng, J Yang, R Ding… - Engineering Applications of …, 2023 - Elsevier
The fan noise in the train electric traction system contributes to the main noise of the train,
affecting the comfort of the passengers. The prediction of fan noise can serve as a …

Reinforcement Learning of an Interpretable Fuzzy System through a Neural Fuzzy Actor-Critic Framework for Mobile Robot Control

CF Juang, ZB You - IEEE Transactions on Fuzzy Systems, 2024 - ieeexplore.ieee.org
This article proposes a method of reinforcement learning (RL) of an interpretable fuzzy
system (IFS) based on a neural fuzzy actor-critic (RLIFS-NFAC) framework. The critic in the …

Multiobjective optimization of interpretable fuzzy systems and applicable subjects for fast estimation of obstructive sleep apnea-hypopnea severity

CF Juang, GR Pan, WC Huang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article proposes an interpretable fuzzy estimation system (IFES) for fast estimation of
severity of obstructive sleep apnea-hypopnea syndrome (OSAHS) using three easily …

Quantitative condition assessment method for rotating machinery using fuzzy neural network

J Lu, C Zhang, R Cui, S Li - Measurement Science and …, 2024 - iopscience.iop.org
Health condition assessment of rotating machinery has been a persistent challenge.
Traditional condition assessment methods often rely on single features, limiting their …

Automatic hitting-duration estimation of a rechargeable impact wrench using a fuzzy neural network to reach target toques

CF Juang, YW Chen - International Journal of Fuzzy Systems, 2023 - Springer
This paper proposes an automatic hitting-duration estimation method for a rechargeable
impact wrench using a fuzzy neural network (FNN) to reach target torques. To manipulate a …