Results 151 to 160 of about 1,355,935 (279)

A New Fuzzy Backstepping Control Based on RBF Neural Network for Vibration Suppression of Flexible Manipulator

Applied Sciences
Flexible manipulators have been widely used in industrial production. However, due to the poor rigidity of the flexible manipulator, it is easy to generate vibration. This will reduce the working accuracy and service life of the flexible manipulator.
Zhiyong Wei, Qingchun Zheng, Peihao Zhu, Wenpeng Ma, Jieyong Deng   +4 more
doaj   +1 more source

Electrocardiogram Signal Classification in the Diagnosis of Heart Disease Based on RBF Neural Network. [PDF]

Comput Math Methods Med, 2022
Fang Y, Shi J, Huang Y, Zeng T, Ye Y, Su L, Zhu D, Huang J.   +7 more
europepmc   +1 more source

TSG‐Net: A Multiscale Decomposition and Spatio‐Temporal Graph Neural Network Framework for High‐Precision Wind Power Forecasting

Wind Energy, Volume 29, Issue 3, March 2026.
ABSTRACT Wind energy's intermittency poses significant challenges for power grid stability. Existing forecasting methods exhibit notable limitations: traditional machine learning models struggle with long‐term temporal dependencies, while deep learning approaches often overlook spatial relationships among turbines.
YuChen Zhang
wiley   +1 more source

RBF-Assisted Hybrid Neural Network for Solving Partial Differential Equations

Mathematics
In scientific computing, neural networks have been widely used to solve partial differential equations (PDEs). In this paper, we propose a novel RBF-assisted hybrid neural network for approximating solutions to PDEs.
Ying Li, Wei Gao, Shihui Ying
doaj   +1 more source

Critical Review for One‐Class Classification: Recent Advances and Reality Behind Them

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This review presents a new taxonomy to summarize one‐class classification (OCC) algorithms and their applications. The main argument is that OCC should not learn multiple classes. The paper highlights common violations of OCC involving multiple classes.
Toshitaka Hayashi, Dalibor Cimr, Hamido Fujita, Richard Cimler   +3 more
wiley   +1 more source

Prediction of Short-Term Stock Price Trend Based on Multiview RBF Neural Network. [PDF]

Comput Intell Neurosci, 2021
Lv B, Jiang Y.
europepmc   +1 more source

Machine Learning Assisted Fluorescent Sensor Array for Sensing Applications

Advanced Sensor Research, Volume 5, Issue 2, February 2026.
Chemical analysis is being revolutionized by the combination of the high‐dimensional, multi‐channel signals generated by fluorescent sensor arrays and the powerful data analysis enabled by machine learning. This review covers state‐of‐the‐art studies that use machine learning techniques for the identification and quantification of fluorescent sensor ...
Haobo Guo, Karandeep Grover, Elizabeth J. New   +2 more
wiley   +1 more source

RBF Neural Network Sliding Mode Control for Passification of Nonlinear Time-Varying Delay Systems with Application to Offshore Cranes. [PDF]

Sensors (Basel), 2022
Jiang B, Liu D, Karimi HR, Li B.
europepmc   +1 more source

VDLIN: A Deep Learning‐Based Platform for Methylcobalamin‐Inspired Immunomodulatory Compound Screening

Advanced Science, Volume 13, Issue 7, 3 February 2026.
Using the convolutional neural network model VDLIN, Co7 is identified as a promising therapeutic candidate. Co7 demonstrates distinct advantages over MCB by effectively balancing anti‐inflammatory and immune‐stimulatory functions, making it a potential novel approach for immune modulation.
Xuefei Guo, Yang Zhao, Xianle Rong, Chenxi Niu, Shiyu Hu, Qiang Liu, Fuping You   +6 more
wiley   +1 more source

Forecasting Job Burnout among University Faculty Members of Yazd Payame Noor University Using Artificial Neural Network Technique

طب کار, 2019
Background: Faculty members are one of the main factors in the higher education system, that high level of occupational stress caused by educational, research, and executive duties makes them exposed to burnout.
Hamideh Shekari
doaj