A Modified Neutral Network Increment Study Algorithm
Zheng Wang · 2007
Neutral network based on extended Kalman filter is a widely applicable neutral network algorithm though it has problems in dealing with large data quantity and resisting noise. In this essay, the extended Kalman filter algorithm is modified from the point of incremental studying. The partial incremental training and proper obscure note cutting mechanism is introduced into the algorithm, considering the advantages of cycle algorithm, which makes it improved largely in resisting noise. Theoretical analysis manifests that the algorithm can reduce the impact of data noise effectively and improve the robustness of neutral network algorithm.