In view of the traditional neural network training algorithm defects of slow convergence speed and the low generalization,a new adaptive particle swarm optimization is put out to apply to the neural network training.The algorithm enhanced the generalization of network through improving the self-adapted search strategy.Then,the algorithm used standard data sets,Ionosphere,in the test.The experiment show that the neural network based on adaptive particle swarm optimization is obviously superior to BP algorith...
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