Results 211 to 220 of about 59,820 (274)

Quantitative method of pipeline magnetic leakage internal signal detection on the basis of an improved neural network. [PDF]

Sci Rep
Wang G, Bei S, Zuo Y, Zhang H.
europepmc   +1 more source

Development of a Neural-Fuzzy-Based Variable Admittance Control Strategy for an Upper Limb Rehabilitation Exoskeleton. [PDF]

Sensors (Basel)
Shi Y, Li K, Zhang Y, Wu Q.
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Direct robust adaptive tracking control of electric vehicles based on radial basis function neural networks. [PDF]

PLoS One
Xiao X, Fang X.
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Research on precision prediction of heavy-duty lathes based on hybrid PINNS neural network. [PDF]

Sci Rep
Wang R, Jing H, Yang M.
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Visual Predictive Control for Robotics with RBF-EKF Coupled State-Disturbance Estimation and Task-Oriented K-Means Clustering. [PDF]

Sensors (Basel)
Ji P, Wang H, Ren W, Han Y, Cao M.
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Effect of Artificial Neural Network Design Parameters for Prediction of PS/TiO₂ Nanofiber Diameter. [PDF]

Polymers (Basel)
Tığlı Aydın RS, Eğilmez F, Kaya C.
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Exploring CO₂ solubility in 1-N-butyl-3-methylimidazolium hexafluorophosphate ionic liquid using neural network models. [PDF]

Sci Rep
Masoumi H, Daryayehsalameh B, Ghaemi A.
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Fusion of Transformer and RBF for Anomalous Traffic Detection in Sensor Networks. [PDF]

Sensors (Basel)
Dai A, Guo J, Hou Y, Wang Y.
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Accelerated gradient algorithm for RBF neural network

Neurocomputing, 2021
Abstract Gradient-based algorithms are commonly used for training radial basis function neural network (RBFNN). However, one of the challenges in the training process is determining how to avoid vanishing gradient. To solve this problem, an accelerated gradient algorithm (AGA) is designed to improve the learning performance of RBFNN in this paper ...
Hong-Gui Han, Miao-Li Ma, Jun-Fei Qiao
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