Structure optimization strategy of neural networks - research on the pruning algorithm

We analysis the major factors which influence the generalization performance of the neural networks, carry out a survey on structure optimization methods and present several kinds of pruning algorithms to simulate the multilayer feedforward network on two kinds of typical problems. The result suggests that the pruning algorithm can effectively optimize the structure of neural networks and notably improve their generalization. Finally, some new developments of the pruning algorithm are summarized