Guest Editorial:Special issue on recurrent dynamic neural networks:Theory and applications  

作　　者：Long Jin Predrag S.Stanimirović 

机构地区：[1]School of Information Science and Engineering,Lanzhou University,Lanzhou,China [2]Faculty of Sciences and Mathematics,University of Nis,Nis,Serbia

出　　处：《CAAI Transactions on Intelligence Technology》2023年第3期547-548,共2页智能技术学报（英文）

摘　　要：Recurrent dynamic neural network has been proven to be a powerful tool in the online solving of problems with consid-erable complexity and has been applied to various fields.In recent years,various recurrent dynamic neural networks have been developed to solve complex time‐varying problems,such as time‐varying matrix inversion,time‐varying nonlinear opti-misation,motion control of manipulators and so on.However,some thorny issues remain,including,but not limited to,sensitivity to noises,slow convergent speed,and high computational complexity.

关 键 词：complexity. dynamic CONVERGENT 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]