《Tab.1 NM SE and degree of dispersionΔof different models》

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《基于实复值混合时延神经网络的宽带功放的建模和线性化（英文）》

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The NM SE values of three other models are compared in Fig.8 for the BPA w ith the mixed test signals described in this w ork，w here La=Lb=Lc=4，Mb=Mc=1，and Ka-1=Kb=Kc∈[2，3，4，5，6，7]for GMP1，M=4 and K-1∈[2，3，4，5，7]for M P1，La=Lb=Lc=5，Mb=Mc=1，and Ka-1=Kb=Kc∈[2，3，4，5，6，7]for GM P2，M=5 and K-1∈[2，3，4，5，7]for M P2.For the RFM model，MN=MD=4，and PN=PD∈[2，3，4，5，6，7]is for RFM1，MN=MD=5，and PN=PD∈[2，3，4，5，6，7]is for RFM2.In the compromise selection process betw een the NM SE and the number of coefficients，La=Lb=Lc=4，Mb=Mc=1，and Ka-1=Kb=Kc=4 are selected for the GM P model.M=5 and K=5are selected for the M P model.How ever，MN=MD=5and PN=PD=2 are selected for the RFM model.The real and complex-valued hybrid TDNN model has 200nodes，K=2，M=1，and s=1.5.The NM SE and the degree of dispersionΔof these models for these parameters are compared in Tab.1.