基于无标度网络的类脑储备池拓扑设计
刘瑄昀,闫莹,於志勇,黄昉菀

Topological design of brain-like reservoir based on scale-free network
Xuanyun LIU,Ying YAN,Zhiyong YU,Fangwan HUANG
表 5 不同数据集下不同方法构建的回声状态网络预测性能对比
Tab.5 Comparison of prediction performance of echo state networks constructed by different methods under different datasets
构建算法MG-16数据集MG-17数据集MSO数据集
MSEMAPEtr/sMSEMAPEtr/sMSEMAPEtr/s
本研究1.1835×10−80.319355.28181.6819×10−80.170855.30133.9945×10−70.643254.8694
BA算法3.3468×10−80.454564.42533.0127×10−80.283465.00103.5008×10−62.466745379.2237
MC2.0642×10−80.370945453.31142.8791×10−80.268947250.78565.4044×10−63.6511190162.7360
MCC2.4475×10−80.3573104688.04842.9963×10−80.2758106434.13045.9746×10−62.37574781.4928
MCE2.4980×10−80.41134767.13583.2662×10−80.31914701.74593.9496×10−61.461064.5388