Results 1 to 10 of about 13,838 (166)
Viscosity Prediction of Different Ethylene Glycol/Water Based Nanofluids Using a RBF Neural Network
Applied Sciences, 2017 In this study, a radial basis function (RBF) neural network with three-layer feed forward architecture was developed to effectively predict the viscosity ratio of different ethylene glycol/water based nanofluids.
Ningbo Zhao, Zhiming Li
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A new optimized GA-RBF neural network algorithm. [PDF]
Comput Intell Neurosci, 2014 When confronting the complex problems, radial basis function (RBF) neural network has the advantages of adaptive and self-learning ability, but it is difficult to determine the number of hidden layer neurons, and the weights learning ability from hidden layer to the output layer is low; these deficiencies easily lead to decreasing learning ability and ...
Jia W +5 more
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Trajectory Planning of Robot Manipulator Based on RBF Neural Network. [PDF]
Entropy (Basel), 2021 Song Q +6 more
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Research on nonlinear calibration of mine catalytic-combustion-based combustible-gas sensor based on RBF neural network. [PDF]
Heliyon, 2023 Bowen W.
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Reactor Temperature Prediction Method Based on CPSO-RBF-BP Neural Network
Applied Sciences, 2023 A neural network model based on a chaotic particle swarm optimization (CPSO) radial basis function-back propagation (RBF-BP) neural network was suggested to improve the accuracy of reactor temperature prediction.
Xiaowei Tang, Bing Xu, Zichen Xu
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Groundwater Level Prediction based on Neural Networks: A case study in Linze, Northwestern China [PDF]
E3S Web of Conferences, 2021 Groundwater level is an important factor in evaluating groundwater resources. Due to numerous non-linear factors, establishing theoretical models is difficult..
Zhang Hui, Zhao Jixuan, Chen Chong
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Sensors, 2021 Aiming at addressing the problems of short battery life, low payload and unmeasured load ratio of logistics Unmanned Aerial Vehicles (UAVs), the Radial Basis Function (RBF) neural network was trained with the flight data of logistics UAV from the ...
Qin Yang +5 more
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Spatio-Temporal RBF Neural Networks [PDF]
2018 3rd International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST), 2018 Published in 2018 3rd International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST)
Shujaat Khan +4 more
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Radial Basis Function Neural Network Model Based on Lasso Sparse Learning [PDF]
Jisuanji gongcheng, 2019 The traditional Radial Basis Function(RBF) neural network model uses all hidden layer nodes to construct the model.In this case,the generalization performance of traditional RBF neural network model is degraded because of the lackness of the effective ...
CUI Chen,DENG Zhaohong,WANG Shitong
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Design of RBF Adaptive Sliding Mode Controller for A Supercavitating Vehicle
IEEE Access, 2021 This paper proposes an adaptive sliding mode control strategy based on RBF (Radial Basis Function) neural network for the supercavitating vehicle system with model uncertainties and external disturbance.
Wang Jinghua +4 more
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