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- W2377699194 abstract "An improved method for RBF neural network parameters optimization is proposed.The number of nodes in the hidden layer is determined by using RAN(Resource Allocating Network),meanwhile strategy of pruning is introduced to remove those hidden units which make insignificant contribution to overall network output.Central position,width and weight of the neural network are optimized by the improved PSO(Particle Swarm Optimization)algorithm,so as to obtain the appropriate structure and control parameters.The new algorithm is used to predict the model of CSTR,and the result indicates that RBF neural network optimized by this algorithm has a smaller structure and high generalization ability." @default.
- W2377699194 created "2016-06-24" @default.
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- W2377699194 date "2012-01-01" @default.
- W2377699194 modified "2023-09-22" @default.
- W2377699194 title "Improved method for RBF neural network parameters optimization" @default.
- W2377699194 hasPublicationYear "2012" @default.
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