Artificial intelligence applications for friction stir welding: A review
Advances in artificial intelligence (AI) techniques that can be used for different purposes
have enabled it to be used in many different industrial applications. These are mainly used …
have enabled it to be used in many different industrial applications. These are mainly used …
[HTML][HTML] A comprehensive review of stacking methods for semantic similarity measurement
J Martinez-Gil - Machine Learning with Applications, 2022 - Elsevier
This article presents a comprehensive review of stacking methods commonly used to
address the challenge of automatic semantic similarity measurement in the literature. Since …
address the challenge of automatic semantic similarity measurement in the literature. Since …
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 …
Knowledge implementation and transfer with an adaptive learning network for real-time power management of the plug-in hybrid vehicle
Essential decision-making tasks such as power management in future vehicles will benefit
from the development of artificial intelligence technology for safe and energy-efficient …
from the development of artificial intelligence technology for safe and energy-efficient …
Dissipativity-based asynchronous fuzzy sliding mode control for T–S fuzzy hidden Markov jump systems
This paper investigates the problem of dissipativity-based asynchronous fuzzy integral
sliding mode control (AFISMC) for nonlinear Markov jump systems represented by Takagi …
sliding mode control (AFISMC) for nonlinear Markov jump systems represented by Takagi …
[HTML][HTML] Design and control of Takagi-Sugeno-Kang fuzzy based inverter for power quality improvement in grid-tied PV systems
The addition of solar photovoltaic energy penetration to the electric grid is widely increasing
across the world due to the many advantages such as clean energy source, easy to install …
across the world due to the many advantages such as clean energy source, easy to install …
Artificial intelligence-based power system stabilizers for frequency stability enhancement in multi-machine power systems
Low frequency oscillations (LFOs) occur in a system of interconnected generators connected
by weak interconnection. A power system stabilizer (PSS) is commonly used to improve the …
by weak interconnection. A power system stabilizer (PSS) is commonly used to improve the …
Memory recurrent Elman neural network-based identification of time-delayed nonlinear dynamical system
R Kumar - IEEE Transactions on Systems, Man, and …, 2022 - ieeexplore.ieee.org
In this article, an attempt has been made to propose an improved version of the classical
Elman neural network (ENN) and its application is presented to identify the unknown …
Elman neural network (ENN) and its application is presented to identify the unknown …
An adaptive TS‐fuzzy model based RBF neural network learning for grid integrated photovoltaic applications
N Priyadarshi, P Sanjeevikumar… - IET Renewable …, 2022 - Wiley Online Library
In this research work, an adaptive TS‐fuzzy based RBF neural network (ATSFRBFNN)
algorithm based maximum power point tracker (MPPT) is employed for grid integrated …
algorithm based maximum power point tracker (MPPT) is employed for grid integrated …
Fuzzy stochastic configuration networks for nonlinear system modeling
K Li, J Qiao, D Wang - IEEE Transactions on Fuzzy Systems, 2023 - ieeexplore.ieee.org
This article proposes a novel randomized neuro-fuzzy model called fuzzy stochastic
configuration networks (F-SCNs), which integrates the Takagi–Sugeno (T–S) fuzzy inference …
configuration networks (F-SCNs), which integrates the Takagi–Sugeno (T–S) fuzzy inference …