A Varying-Gain Recurrent Neural Network and Its Application to Solving Online Time-Varying Matrix Equation

• Main Authors: Zhijun Zhang, Xianzhi Deng, Xilong Qu, Bolin Liao, Ling-Dong Kong, Lulan Li
• Format: Article
• Language: English
• Published: IEEE 2018-01-01
• Series: IEEE Access
• Subjects: Neural network models; matrix equations; time-varying systems; convergence analysis
• Online Access: https://ieeexplore.ieee.org/document/8558699/

This work was supported in part by the National Key R&D Program of China under Grant 2017YFB1002505, in part by the National Natural Science Foundation of China under Grant 61603142 and Grant 61633010, in part by the Guangdong Foundation for Distinguished Young Scholars under Grant 2017A030306009, in part by the Guangdong Youth Talent Support Program of Scientific and Technological Innovation under Grant 2017TQ04X475, in part by the Science and Technology Program of Guangzhou under Grant 201707010225, in part by the Fundamental Research Funds for Central Universities under Grant 2017MS049, in part by the Scientific Research Starting Foundation of South China University of Technology, National Key Basic Research Program of China (973 Program) under Grant 2015CB351703, and in part by the Natural Science Foundation of Guangdong Province under Grant 2014A030312005.