·222· 北京科技大学学报 第34卷 [15]Lukosevicius M.Echo State Networks with Trained Feedbacks: grammatical structure with echo state networks.Neural Networks, IUB Technical Report No.4.Intemational University Bremen, 2007,20(3):424 2007 [20]Xu D M.Lan J.Principe J C.Direet adaptive control:an echo [16]Jaeger H.Discovering Multiscale Dynamical Features with Hierar- state network and genetic algorithm approach Proceedings of chical Echo State Netcorks:Jacobs University Bremen Technical the IEEE International Joint Conference on Neural Netorks. Report No.10.Jacobs University Bremen.2007 Montreal,2005:1483 [17]Ding H Y.Pei W J.He Z Y.A multiple objective optimization [21]Holzmann G.Reservoir computing:a powerful black-box frame- based echo state network tree and application to intrusion detec- work for nonlinear audio processing /Proceedings of the 12th In- tion /Proceedings of the IEEE International Workshop on VLSI ternational Conference on Digital Audio Effects.Como,2009: Design and Video Technology.2005:443 DAFx-09 [18]Pei C D.Echo state networks and its application on image edge [22]ShiZ W,Han M.Support vector echo-state machine for chaotie detection.Comput Eng Appl,2008,44(19):172 time series prediction.IEEE Trans Neural Netorks,2007,18 (裴承丹.回声状态网络及其在图像边缘检测中的应用.计 (2):359 算机工程与应用，2008,4419)：172) [23]Rodan A,Tino P.Minimum complexity echo state network.IEEE [19]Tong M H,Bickett A D.Christiansen E M,et al.Learning Trans Neural Netwcorks,2011.22(1):131北 京 科 技 大 学 学 报 第 34 卷 ［15］ Lukoevicˇius M． Echo State Networks with Trained Feedbacks: IUB Technical Report No． 4． International University Bremen， 2007 ［16］ Jaeger H． Discovering Multiscale Dynamical Features with Hierar￾chical Echo State Networks: Jacobs University Bremen Technical Report No． 10． Jacobs University Bremen，2007 ［17］ Ding H Y，Pei W J，He Z Y． A multiple objective optimization based echo state network tree and application to intrusion detec￾tion / / Proceedings of the IEEE International Workshop on VLSI Design and Video Technology，2005: 443 ［18］ Pei C D． Echo state networks and its application on image edge detection． Comput Eng Appl，2008，44( 19) : 172 ( 裴承丹． 回声状态网络及其在图像边缘检测中的应用． 计 算机工程与应用，2008，44( 19) : 172) ［19］ Tong M H，Bickett A D，Christiansen E M，et al． Learning grammatical structure with echo state networks． Neural Networks， 2007，20( 3) : 424 ［20］ Xu D M，Lan J，Principe J C． Direct adaptive control: an echo state network and genetic algorithm approach / / Proceedings of the IEEE International Joint Conference on Neural Networks． Montreal，2005: 1483 ［21］ Holzmann G． Reservoir computing: a powerful black-box frame￾work for nonlinear audio processing / / Proceedings of the 12th In￾ternational Conference on Digital Audio Effects． Como，2009: DAFx-09 ［22］ Shi Z W，Han M． Support vector echo-state machine for chaotic time series prediction． IEEE Trans Neural Networks，2007，18 ( 2) : 359 ［23］ Rodan A，Tiňo P． Minimum complexity echo state network． IEEE Trans Neural Networks，2011，22( 1) : 131 ·222·