A RNN for Solving Discrete-Form Time-Varying Matrix Inversion: From Model Design to Parameter Analysis. - Ruicong Wang; Qiaowen Shi; Xijie Wang; Bo Peng; Wei Chong; Yang Shi 003 (ICACI, 2024)

A new recurrent neural network based on direct discretization method for solving discrete time-variant matrix inversion with application. - Yang Shi 003; Wei Chong; Wenhan Zhao; Shuai Li 002; Bin Li 006; Xiaobing Sun 001 (Inf. Sci., 2024)

A New Double-Integration-Enhanced RNN Algorithm for Discrete Time-Variant Equation Systems With Robot Manipulator Applications. - Yang Shi 003; Wei Chong; Xinwei Cao; Chao Jiang; Ruxin Zhao; Dimitrios Gerontitis (IEEE Trans Autom. Sci. Eng., 2025)