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Multi-Objective Optimization of Jet Pump Based on RBF Neural Network Model
Journal of Marine Science and Engineering, 2021Kai Xu, Gang Wang, Feihong Yun
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RBF Neural Network Design and Simulation
2012This chapter introduces RBF neural network design method, gives RBF neural network approximation algorithm based on gradient descent, analyzes the effects of Gaussian function parameters on RBF approximation, and introduces RBF neural network modeling method based on off-line training. Several simulation examples are given.
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A New RBF Neural Network-Based Fault-Tolerant Active Control for Fractional Time-Delayed Systems
Electronics (Switzerland), 2021P Agarwal +2 more
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Adaptive RBF Neural Network Control
2012Since the idea of the computational abilities of networks composed of simple models of neurons was introduced in the 1940s [1], neural network techniques have undergone great developments and have been successfully applied in many fields such as learning, pattern recognition, signal processing, modeling, and system control.
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Prediction of soybean price in China using QR-RBF neural network model
Computers and Electronics in Agriculture, 2018Guangming Zang
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An RBF neural network approach towards precision motion system with selective sensor fusion
Neurocomputing, 2016Poi Voon Er, Kok Kiong Tan, Rui Yang
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Distributed formation control of nonholonomic autonomous vehicle via RBF neural network
Mechanical Systems and Signal Processing, 2017Konghui Guo +2 more
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