Results 61 to 70 of about 59,820 (274)
Journal of Applied Mathematics, 2013 An accurate forecasting method for power generation of the wind energy conversion system (WECS) is urgently needed under the relevant issues associated with the high penetration of wind power in the electricity system. This paper proposes a hybrid method
Wen-Yeau Chang
doaj +1 more source
Research of time-delay control of wireless network based on RBF neural network PID control
Gong-kuang zidonghua, 2013 In view of problems that uncertain time-delay influences on control performance of wireless network control system and normal PID control strategy cannot meet control requirement of network, the paper proposed a time-delay control scheme of wireless ...
SUN Xiao-xi, HUANG You-rui, QU Li-guo
doaj +1 more source
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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Radial basis function neural networks for modeling growth rates of the basidiomycetes Physisporinus vitreus and Neolentinus lepideus [PDF]
, 2018 A radial basis function (RBF) neural network was developed and compared against a quadratic response surface (RS) model for predicting the specific growth rates of the biotechnologically important basidiomycetous fungi, Physisporinus vitreus and ...
Mourad, Safer +2 more
core
Software Aging Analysis of Web Server Using Neural Networks
, 2012 Software aging is a phenomenon that refers to progressive performance degradation or transient failures or even crashes in long running software systems such as web servers.
Raju, R., Sumathi, G.
core +1 more source
Advanced Intelligent Discovery, EarlyView.A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
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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Prediction in Photovoltaic Power by Neural Networks [PDF]
, 2017 The ability to forecast the power produced by renewable energy plants in the short and middle term is a key issue to allow a high-level penetration of the distributed generation into the grid infrastructure. Forecasting energy production is mandatory for
Altilio, Rosa +3 more
core +1 more source