Research on RBF Neural Network Model Based on Particle Swarm Optimization

Intelligence for particle swarm optimization neural network algorithm. Based on the conventional PSO algorithm, the center of the basis function, the width of the basis function and the connection weight between the output layer and the hidden layer of the RBF neural network are optimized. The conclusion shows that the detection method studied in this paper has faster recognition speed and better recognition accuracy, and avoids the situation of falling into the local optimal solution.