Fourier-based type-2 fuzzy neural network: Simple and effective for high dimensional problems
The main contribution of this study is to introduce a simple and effective deep learning
Fourier-based type-2 fuzzy neural network for high-dimensional problems. The rules are …
Fourier-based type-2 fuzzy neural network for high-dimensional problems. The rules are …
[HTML][HTML] A Review of AI-Driven Control Strategies in the Activated Sludge Process with Emphasis on Aeration Control
Recent concern over energy use in wastewater treatment plants (WWTPs) has spurred
research on enhancing efficiency and identifying energy-saving technologies. Treating one …
research on enhancing efficiency and identifying energy-saving technologies. Treating one …
Dynamic submodular-based learning strategy in imbalanced drifting streams for real-time safety assessment in nonstationary environments
Z Liu, X He - IEEE Transactions on Neural Networks and …, 2023 - ieeexplore.ieee.org
The design of real-time safety assessment (RTSA) approaches in nonstationary
environments is meaningful to reduce the possibility of significant losses. However, several …
environments is meaningful to reduce the possibility of significant losses. However, several …
A real-time adaptive fault diagnosis scheme for dynamic systems with performance degradation
X He, C Li, Z Liu - IEEE Transactions on Reliability, 2023 - ieeexplore.ieee.org
The degradation of a system's performance poses a significant challenge to the effective
application of fault diagnosis methods for dynamic systems. Consequently, the underlying …
application of fault diagnosis methods for dynamic systems. Consequently, the underlying …
IT2CFNN: An interval type-2 correlation-aware fuzzy neural network to construct non-separable fuzzy rules with uncertain and adaptive shapes for nonlinear function …
A Salimi-Badr - Applied Soft Computing, 2022 - Elsevier
In this paper, a new interval type-2 fuzzy neural network able to construct non-separable
fuzzy rules with various shapes is introduced for function approximation problems. To reflect …
fuzzy rules with various shapes is introduced for function approximation problems. To reflect …
Efficient fault monitoring in wastewater treatment processes with time stacked broad learning network
C Peng, X Ying, M FanChao - Expert Systems with Applications, 2023 - Elsevier
Process monitoring models play an increasingly indispensable role in promptly
differentiating faults within the wastewater treatment process to maintain a safe state. The …
differentiating faults within the wastewater treatment process to maintain a safe state. The …
Adaptive Incremental Broad Learning System Based on Interval Type-2 Fuzzy Set with Automatic Determination of Hyperparameters
H Wu, W Lin, Y Chen, F Shi, W Shen… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
The fuzzy broad learning system (FBLS) has received increasing attention due to its ability to
quickly train from broad learning systems (BLS) and interpretability with fuzzy inference …
quickly train from broad learning systems (BLS) and interpretability with fuzzy inference …
Fault detection in wastewater treatment process using broad slow feature neural network with incremental learning ability
P Chang, Y Xu, F Meng, W ** a fault detection model for the wastewater treatment process that combines
satisfactory accuracy with comparatively low time overhead remains an exceedingly …
satisfactory accuracy with comparatively low time overhead remains an exceedingly …
Intelligent MIMO ORFBLS-based setpoint tracking control with its application to temperature control of an industrial extrusion barrel
This paper presents a novel intelligent control method using an output recurrent fuzzy broad
learning system (ORFBLS) for robust setpoint tracking control of nonlinear digital multi-input …
learning system (ORFBLS) for robust setpoint tracking control of nonlinear digital multi-input …
Broad learning system based ensemble deep model
Broad learning system (BLS) demonstrates a novel structure of neural networks based on
random vector functional link network (RVFL), which has a faster modeling speed, better …
random vector functional link network (RVFL), which has a faster modeling speed, better …