Development and performance evaluation of variable width raised bed former with optimal parameters predicted by RBF neural network-PSO technique. [PDF]
Sawant CP +6 more
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RBF neural networks for pattern classification
Radial basis function neural networks (RBF neural networks), as an alternative to multilayer perceptions, have been found to be very advantageous to pattern recognition, machine learning and artificial intelligence. This thesis addresses the problem of RBF neural networks for pattern classification. Master of Science (Computer Control and Automation)
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Optimization of cable tension in large-span cable-stayed bridges based on RBF neural network and improved sea-gull algorithm. [PDF]
Zhao D, Wang H, Yu M.
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Global Fast Terminal Fuzzy Sliding Mode Control of Quadrotor UAV Based on RBF Neural Network. [PDF]
Chen W, Ding Y, Weng F, Liang C, Li J.
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Grain storage temperature prediction based on chaos and enhanced RBF neural network. [PDF]
Sun F, Gong C, Lyu Z.
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The Evaluation and Prediction of Flame Retardancy of Asphalt Mixture Based on PCA-RBF Neural Network Model. [PDF]
Yin P, Wang H, Tan Y.
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Sea Clutter Suppression Method of HFSWR Based on RBF Neural Network Model Optimized by Improved GWO Algorithm. [PDF]
Shang S +5 more
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Research on the characteristics of electro-hydraulic position servo system of RBF neural network under fuzzy rules. [PDF]
Li J, Li W, Du X.
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