Results 11 to 20 of about 1,355,935 (279)
IEEE Access, 2020 With the rapid economic development, urban areas are seeing more and more vehicles, leading to frequent urban traffic congestion. To solve this problem, the forecasting of traffic parameters is essential, in which, road operating speed (hereinafter ...
Chun Ai, Lijun Jia, Mei Hong, Chao Zhang
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Multi-Sensor Fusion for Underwater Vehicle Localization by Augmentation of RBF Neural Network and Error-State Kalman Filter. [PDF]
Sensors (Basel), 2021 The Kalman filter variants extended Kalman filter (EKF) and error-state Kalman filter (ESKF) are widely used in underwater multi-sensor fusion applications for localization and navigation.
Shaukat N +4 more
europepmc +2 more sources
Trajectory Planning of Robot Manipulator Based on RBF Neural Network. [PDF]
Entropy (Basel), 2021 Robot manipulator trajectory planning is one of the core robot technologies, and the design of controllers can improve the trajectory accuracy of manipulators.
Song Q +6 more
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J. Sensors, 2021 In the process of deepening and developing the current higher education reform, people pay more and more attention to the research of college English education.
Yajun Chen
semanticscholar +1 more source
Network Intrusion Detection Based on Extended RBF Neural Network with Offline Reinforcement Learning
IEEE Access, 2021 Network intrusion detection focuses on classifying network traffic as either normal or attack carrier. The classification is based on information extracted from the network flow packets.
Manuel López Martín +3 more
semanticscholar +1 more source
A Fault Diagnosis Method for Lithium-Ion Battery Packs Using Improved RBF Neural Network
Frontiers in Energy Research, 2021 With the increasing demand for electric vehicles, the high voltage safety of electric vehicles has attracted significant attention. More than 30% of electric vehicle accidents are caused by the battery system; hence, it is vital to investigate the fault ...
Jia Wang, Sheng‐Ye Zhang, Xia Hu
semanticscholar +1 more source
Multi-Objective Optimization of Jet Pump Based on RBF Neural Network Model
Journal of Marine Science and Engineering, 2021 In this study, an annular jet pump optimization method is proposed based on an RBF (Radial Basis Function) neural network model and NSGA-II (Non-Dominated Sorting Genetic Algorithm) optimization algorithm to improve the hydraulic performance of the ...
Kai Xu +7 more
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Convergent Decomposition Techniques for Training RBF Neural Networks [PDF]
Neural Computation, 2001 In this article we define globally convergent decomposition algorithms for supervised training of generalized radial basis function neural networks. First, we consider training algorithms based on the two-block decomposition of the network parameters into the vector of weights and the vector of centers.
C. BUZZI, L. GRIPPO, SCIANDRONE, MARCO
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GDP Economic Forecasting Model Based on Improved RBF Neural Network
Mathematical Problems in Engineering, 2022 Among the existing GDP forecasting methods, time series forecasting and regression model forecasting are the two most commonly used forecasting methods.
Ying Yu
semanticscholar +1 more source
Energies, 2020 Effectively avoiding methane accidents is vital to the security of manufacturing minerals. Coal mine methane accidents are often caused by a methane concentration overrun, and accurately predicting methane emission quantity in a coal mine is key to ...
Yongkang Yang +3 more
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