scholarly journals Comprehensive Analysis of ZNN Models for Computing Complex-Valued Time-Dependent Matrix Inverse

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 91989-91998
Author(s):  
Yihui Lei ◽  
Bolin Liao ◽  
Jialiang Chen
Keyword(s):  
Comprehensive Analysis ◽  
Time Dependent ◽  
Matrix Inverse ◽  
Complex Valued

scholarly journals A Noise-Acceptable ZNN for Computing Complex-Valued Time-Dependent Matrix Pseudoinverse

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 13832-13841 ◽  
Author(s):  
Yihui Lei ◽  
Bolin Liao ◽  
Qingfei Yin
Keyword(s):  
Time Dependent ◽  
Complex Valued ◽  
Matrix Pseudoinverse

Novel Complex-Valued Neural Network for Dynamic Complex-Valued Matrix Inversion

2016 ◽  
Vol 20 (1) ◽  
pp. 132-138 ◽  
Author(s):  
Bolin Liao ◽  
◽  
Lin Xiao ◽  
Jie Jin ◽  
Lei Ding ◽  
...  
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Hardware Implementation ◽  
Matrix Inversion ◽  
Matrix Inverse ◽  
Novel Complex ◽  
Simulation Results ◽  
Complex Valued ◽  
Gradient Neural Network

Static matrix inverse solving has been studied for many years. In this paper, we aim at solving a dynamic complex-valued matrix inverse. Specifically, based on the artful combination of a conventional gradient neural network and the recently-proposed Zhang neural network, a novel complex-valued neural network model is presented and investigated for computing the dynamic complex-valued matrix inverse in real time. A hardware implementation structure is also offered. Moreover, both theoretical analysis and simulation results substantiate the effectiveness and advantages of the proposed recurrent neural network model for dynamic complex-valued matrix inversion.

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