Results 51 to 60 of about 59,339 (255)
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
Using RBF nets in rubber industry process control [PDF]
, 2010 This paper describes the use of a radial basis function (RBF) neural network. It approximates the process parameters for the extrusion of a rubber profile used in tyre production.
Brause, Rüdiger W., Pietruschka, Ulf
core
Reinforcement Learning using Augmented Neural Networks
, 2018 Neural networks allow Q-learning reinforcement learning agents such as deep Q-networks (DQN) to approximate complex mappings from state spaces to value functions.
Grzes, Marek, Shannon, Jack
core +1 more source
Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization
AIChE Journal, EarlyView.Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed +4 more
wiley +1 more source
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 on location and layout of auto-body sheet metal based on NSGA-Ⅱ and RBF neural network
Journal of Hebei University of Science and Technology, 2019 In order to solve the problem of low efficiency and easy clamping deformation in the location layout design of auto-body sheet metal,alocation layout design method of auto-body sheet metal based on NSGA-Ⅱ and RBF neural network is proposed.With the ...
Peng WANG, Jiachuan XU, Fan CAO, Di LI
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
doaj +1 more source
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
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
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
doaj +1 more source