具有双储层结构的动态误差补偿回声状态网络OA北大核心CSTPCD

The traditional echo state network is challenging to deal with the high-order nonlinear complex model effec-tively.We proposed an error trace reservoir computing and designed the optimal network algorithm.This new reservoir computing structure consists of a computing layer and a compensation layer.The computing layer mainly undertakes the fitting task,and the compensation layer acts as an error trace function.Because the computing layer always has an insuffi-cient variance estimation,it will lead to unstable neural network prediction.Thus,we proposed the compensation layer to trace neural network error in real-time.The numerical experiments on modeling the multiple superimposed oscillators and nonlinear data sets demonstrate that error trace reservoir structure has higher stability and generalization performance than the conventional network,especially in the high order nonlinear complex models.