Regression Trend Prediction of Rolling Bearing Performance based on Integrated Soft Competition ART
Jixie chuandong, 2018 In order to improve the accuracy and stability of rolling bearing performance prediction,a prediction method combining soft predictive ART-RBF integrated forecasting model and confidence CV value is proposed.
Zhao Qiankun +4 more
doaj
Research on nonlinear calibration of mine catalytic-combustion-based combustible-gas sensor based on RBF neural network. [PDF]
Heliyon, 2023 Bowen W.
europepmc +1 more source
Optimal deep learning activity recognition pipeline using animal bio‐logging data
Methods in Ecology and Evolution, EarlyView.Abstract Animal activity recognition using supervised machine learning on bio‐logging data has revolutionized behavioural studies on wildlife and livestock over the past decade. These studies' analytic pipelines differ substantially though, being based on various sensors, features, algorithms and hyperparameter values, which has caused suboptimal or ...
Jasper A. J. Eikelboom
wiley +1 more source
水下无人系统学报A backstepping integral sliding mode control(BISMC) trajectory tracking control method for underactuated autonomous undersea vehicle(AUV) based on radial basis function(RBF) neural network was proposed to address the challenges of difficult horizontal ...
Chu WANG, Lei WANG, Zhen HU, Baoqiang HU
doaj +1 more source
Retracted: Research on the Formation Mechanism of MgO and Al2O3 on Composite Calcium Ferrite Based on DA-RBF Neural Network. [PDF]
Comput Intell Neurosci, 2023 Intelligence And Neuroscience C.
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Using multilabel classification neural network to detect intersectional DIF with small sample sizes
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract This study introduces InterDIFNet, a multilabel classification neural network for detecting intersectional differential item functioning (DIF) in educational and psychological assessments, with a focus on small sample sizes. Unlike traditional marginal DIF methods, which often fail to capture the effects of intersecting identities and require ...
Yale Quan, Chun Wang
wiley +1 more source
Air Pollution Detection and Sports Club Environmental Responsibility Based on the RBF Neural Network. [PDF]
Comput Intell Neurosci, 2022 Guo Z, Lin H, Qiao Z.
europepmc +1 more source
High‐Gloss SVBRDF Capture Using Bounce Light
Computer Graphics Forum, EarlyView.Abstract Reflectance capture aims at the visual reproduction of an object under varying illumination. Past works differ substantially in their experimental overhead, from single‐ or few‐image approaches, that employ significant (often learned) priors at the expense of biased reconstructions, to more accurate approaches that tend to be time‐consuming ...
Tomáš Iser +2 more
wiley +1 more source
RBF-Assisted Hybrid Neural Network for Solving Partial Differential Equations
MathematicsIn 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
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Trajectory Planning of Robot Manipulator Based on RBF Neural Network. [PDF]
Entropy (Basel), 2021 Song Q +6 more
europepmc +1 more source