Suchergebnisse - "FUZZY neural networks"

Adaptive output-constrained system with zone barrier Lyapunov function.

Autoren: Liang, Xiaoling Bao, Dan Ge, Shuzhi Sam

Quelle: International Journal of Systems Science. Dec2025, Vol. 56 Issue 16, p3971-3985. 15p.

Schlagwörter: *ADAPTIVE control systems, *MATHEMATICAL analysis, *SAFETY standards, LYAPUNOV functions, FUZZY neural networks, STABILITY theory, NONLINEAR systems

Distributed Intelligence in IoHT Using Federated Learning and Edge AI for Chronic Kidney Disease Prediction Using ReLU and Bi-directional GRU with Feature-Wise Dropout and Fuzzy Neural Network.

Autoren: Mamidala, Vijaykumar Yalla, Rama Krishna Mani Kanta Ganesan, Thirusubramanian et al.

Quelle: International Journal of Pattern Recognition & Artificial Intelligence. Jul2025, Vol. 39 Issue 9, p1-26. 26p.

Schlagwörter: *ARTIFICIAL intelligence, FEDERATED learning, FUZZY neural networks, SWARM intelligence, CHRONIC kidney failure

Event‐Triggered Secure Consensus for Cyber‐Physical Systems With Dynamic Quantized Measurement.

Autoren: Wang, Jie Dong, Yuchen Tian, Bailing et al.

Quelle: International Journal of Robust & Nonlinear Control. 11/25/2025, Vol. 35 Issue 17, p7269-7281. 13p.

Schlagwörter: *CYBER physical systems, *FUZZY neural networks, *DISCRETE systems, *NONLINEAR control theory, *SIGNAL quantization, *DATA corruption

A Wearable Device-Based Proactive Warning System for Smart Grid Substations Using Fuzzy Neural Networks.

Autoren: Zhao, Liping Wu, Degang Chen, Qianhui

Quelle: Journal of Circuits, Systems & Computers. Nov2025, p1. 18p. 2 Illustrations.

Schlagwörter: *SMART power grids, *FUZZY neural networks, *SUPERVISION, *WEARABLE technology industry, *COMPUTER performance, *REAL-time computing

Event-triggered fuzzy neural-network PID control for nonlinear gas-blending processes.

Autoren: Dong, Wenbo Wang, Songyuan Zhang, Zhaozhao

Quelle: Scientific Reports. 11/17/2025, Vol. 15 Issue 1, p1-17. 17p.

Schlagwörter: *FUZZY neural networks, *PID controllers, *GREENHOUSE gas mitigation, *DYNAMICAL systems, *MECHANICAL efficiency, *ADAPTIVE control systems, *GASOLINE blending

Fixed-/preassigned-time synchronization control of discontinuous inertial fuzzy neural networks with time delays.

Autoren: Qian, Yinjie Qiao, Yuanhua

Quelle: International Journal of Biomathematics. Oct2025, p1. 23p.

Schlagwörter: *SYNCHRONIZATION, *FUZZY neural networks, *FEEDBACK control systems, *LYAPUNOV functions, *CONTROL theory (Engineering)

A neuro-fuzzy model for evaluating and predicting computational thinking skills of students.

Autoren: Filiz, Ahsen¹ (AUTHOR) afiliz@biruni.edu.tr

Quelle: Scientific Reports. 10/15/2025, Vol. 15 Issue 1, p1-13. 13p.

Schlagwörter: *PREDICTION models, *FUZZY neural networks, *EDUCATIONAL technology, *ARTIFICIAL intelligence, *CRITICAL thinking, *EDUCATIONAL evaluation, *ACADEMIC achievement

Research on fault characteristics of mine ventilator bearings based on fuzzy neural network.

Autoren: Ma, KunSheng Yan, Sheng Wang, Qili et al.

Quelle: Journal of Mechanical Science & Technology. Oct2025, Vol. 39 Issue 10, p5811-5821. 11p.

Schlagwörter: *FAULT diagnosis, *FUZZY neural networks, *SAFETY, *SELF-organizing maps, *VENTILATION

Coordinated control strategy for multi-DG DC microgrid based on two-layer fuzzy neural network.

Autoren: Hao Pan Limin Jia

Quelle: Global Energy Interconnection. Oct2025, Vol. 8 Issue 5, p732-746. 15p.

Schlagwörter: *FUZZY neural networks, *ENERGY storage, *BATTERY storage plants, *MICROGRIDS, *DISTRIBUTED power generation, *SOLAR energy

Uncertainty-aware deep learning methods for robust discrimination between earthquakes and explosions.

Autoren: Zhang, Yun Li, Xihai Zeng, Xiaoniu et al.

Quelle: Geophysical Journal International. Oct2025, Vol. 243 Issue 1, p1-13. 13p.

Schlagwörter: *CONVOLUTIONAL neural networks, *FUZZY neural networks, *DEEP learning, *ARTIFICIAL intelligence, *EPISTEMIC uncertainty

Attention-based fuzzy neural networks for self-supervised data annotation

Autoren: Islam, Md Rakibul Begum, Shahina Ahmed, Mobyen Uddin, Dr et al.

Quelle: Intelligent Systems with Applications. 28

Schlagwörter: Attention mechanism, Data annotation, Fuzzy neural network, Industry 4.0, Self supervised learning, Data mining, Fuzzy inference, Information fusion, Labeled data, Learning systems, Membership functions, Self-supervised learning, Supervised learning, Attention mechanisms, Domain knowledge, Fuzzy-neural-networks, Heavy duty pumps, Historical data, Pump vibrations, Slurry pumps, Vibration data, Vibration signal, Fuzzy neural networks

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-74558
https://doi.org/10.1016/j.iswa.2025.200610

FNN‐ONTOCOM: A Hybrid Cost Estimation Approach Using Fuzzy and Neural Network for Ontology Engineering.

Autoren: Malik, Sonika Jain, Sarika Sharma, Geetanjali

Quelle: Computational Intelligence. Jun2025, Vol. 41 Issue 3, p1-13. 13p.

Schlagwörter: *ARTIFICIAL neural networks, *ARTIFICIAL intelligence, *INFORMATION storage & retrieval systems, *DECISION support systems, FUZZY neural networks

Rating the Impact of Risks in Banking on Performance: Utilizing the Adaptive Neural Network-Based Fuzzy Inference System (ANFIS).

Autoren: Mehdi, Riyadh Ahmed, Ibrahim Elsiddig Mohamed, Elfadil A.

Quelle: Risks. May2025, Vol. 13 Issue 5, p85. 23p.

Schlagwörter: *EARNINGS per share, *PRICE-earnings ratio, FUZZY neural networks, FUZZY logic, FUZZY systems

Land cover classification of high-resolution remote sensing images based on interval Type-2 fuzzy convolutional neural network.

Autoren: Wang, Chunyan Gui, Qihao Xu, Silu et al.

Quelle: Journal of Intelligent & Fuzzy Systems. 2025, Vol. 48 Issue 4, p507-521. 15p.

Schlagwörter: CONVOLUTIONAL neural networks, FUZZY neural networks, SOFT sets, IMAGE recognition (Computer vision), LAND cover

Analyzing industrial robot selection based on a fuzzy neural network under triangular fuzzy numbers.

Autoren: Ullah, Ihsan Abdullah, Saleem Rahimzai, Ariana Abdul et al.

Quelle: Scientific Reports. 9/30/2025, Vol. 15 Issue 1, p1-23. 23p.

Schlagwörter: *INDUSTRIAL robots, *FUZZY neural networks, *AGGREGATION operators, *DECISION theory, *FUZZY numbers

Predefined‐Time Cooperative Formation Control of Multiple Underactuated Unmanned Surface Vessels With Smooth Switching Topology.

Autoren: Zhou, Xuecheng Tian, Xuehong Liu, Haitao et al.

Quelle: International Journal of Robust & Nonlinear Control. 9/25/2025, Vol. 35 Issue 14, p6051-6070. 20p.

Schlagwörter: *COOPERATIVE control systems, *FUZZY neural networks, *FAULT-tolerant control systems, *STABILITY theory, *OBSERVABILITY (Control theory)

Modeling and Neuroadaptive Output Feedback Attitude Control for Receiver UAV Under State Constraints.

Autoren: Hu, Jintao Wu, Yunjie Su, Shanwei

Quelle: International Journal of Robust & Nonlinear Control. Sep2025, p1. 19p. 24 Illustrations.

Schlagwörter: *ADAPTIVE control systems, *FUZZY neural networks, *COMPUTER simulation, *DRONE aircraft, *FEEDBACK control systems, *FUELING

Finite-time synchronization of fuzzy neural networks with fractional order.

Autoren: Wang, Libo Xu, Guigui Wang, Pan

Quelle: Journal of Inequalities & Applications. 9/25/2025, Vol. 2025 Issue 1, p1-17. 17p.

Schlagwörter: *FUZZY neural networks, *SYNCHRONIZATION, *NONLINEAR control theory, *FRACTIONAL differential equations, *TIME, *ADAPTIVE control systems, *MATHEMATICAL analysis

FAIR-Net: A Fuzzy Autoencoder and Interpretable Rule-Based Network for Ancient Chinese Character Recognition.

Autoren: Ge, Yanling Zhang, Yunmeng Roh, Seok-Beom

Quelle: Sensors (14248220). Sep2025, Vol. 25 Issue 18, p5928. 18p.

Schlagwörter: *OPTICAL character recognition, *FUZZY neural networks, *PATTERN recognition systems, *DEEP learning, *CULTURAL maintenance, *FEATURE extraction

A deep neuro-fuzzy framework for speech emotion recognition.

Autoren: Zhang, Qingqing¹ (AUTHOR) xiaozhi14@163.com

Quelle: Computer Methods in Biomechanics & Biomedical Engineering. Sep2025, p1-12. 12p. 9 Illustrations.

Schlagwörter: *EMOTION recognition, *FUZZY neural networks, *FUZZY logic, *ARTIFICIAL neural networks, *FEATURE extraction, *STATISTICAL accuracy, *FUZZY algorithms