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On the implementation of RBF technique in neural networks
Proceedings of the conference on Analysis of neural network applications, 1991Mohamad T. Musavi +3 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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An efficient multilayer RBF neural network and its application to regression problems
Neural Computing and Applications, 2021Qinghua Jiang, Lailai Zhu, Chang Shu
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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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Multi-Objective Optimization of Jet Pump Based on RBF Neural Network Model
Journal of Marine Science and Engineering, 2021Kai Xu, Gang Wang, Liquan Wang
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An RBF neural network approach towards precision motion system with selective sensor fusion
Neurocomputing, 2016Rui Yang, Poi Voon Er, Zidong Wang
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Distributed formation control of nonholonomic autonomous vehicle via RBF neural network
Mechanical Systems and Signal Processing, 2017Shi-Chun Yang +2 more
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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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