Results 51 to 60 of about 13,903 (231)
Control of hybrid electromagnetic bearing and elastic foil gas bearing under deep learning.
PLoS ONE, 2020 The hybrid electromagnetic and elastic foil gas bearing is explored based on the radial basis function (RBF) neural network in this study so as to improve its stabilization in work.
Xiangxi Du, Yanhua Sun
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Parameter-Tunable RBF Neural Network Control Facing Dual-Joint Manipulators
Journal of Robotics, 2022 In order to improve the parameter control effect of the double-joint manipulator, this paper combines the RBF neural network to control the parameters of the double-joint manipulator and the command filtering backstep impedance control method based on ...
Weiying Xu
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Advanced Intelligent Discovery, EarlyView.Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Data Glove Gesture Ｒecognition Algorithm Based on GL-ＲBF Neural Network Optimization
Journal of Harbin University of Science and Technology, 2017 In order to solve the problem of accuracy and real-time in the process of gesture recognition of 5DT data glove，a hybrid optimization method of ＲBF(Ｒadial Basis Function) neural network gesture recognition is proposed based on LM(Levenberg Marquardt ...
LI Dong-jie, LI Yang-yang, YANG Liu
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Modelling and RBF Control of Low-Limb Swinging Dynamics of a Human–Exoskeleton System
Actuators, 2023 With the increase in the elderly population in China and the growing number of individuals who are unable to walk normally, research on lower limb exoskeletons is becoming increasingly important.
Xinyu Peng +3 more
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A Comprehensive Comparative Study of Active Learning Schemes for Nanophotonics Design
Advanced Intelligent Discovery, EarlyView.Active learning (AL) strategies are benchmarked for the binary design of planar multilayer nanophotonic structures. Factorization machines combined with quantum annealing (QA) become effective as dimensionality increases. Hybrid QA provides the strongest results for 100‐layer problems, highlighting the importance of optimization method selection in ...
Serang Jung +10 more
wiley +1 more source
A fault line selection method for small current grounding system
Gong-kuang zidonghua, 2013 In view of problem that fault line selection method for small current grounding system is difficult to be suitable for different grounding modes, the paper proposed a fault line selection method for small current grounding system based on RBF neural ...
SHI Dan, SHAO Ru-ping, XU Ju
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Biotechnology and Bioengineering, EarlyView.Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) – Cas9‐based genome editing has emerged as a widely used tool across various disciplines, ranging from molecular biology to gene therapy. This revolutionary technology, which enables precise gene editing, represents a significant advancement in biotechnology, opening new frontiers for ...
Ali Mertcan Köse +3 more
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Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
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Deep Underground Science and Engineering, EarlyView.Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
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