Paper Info
Title
A Complex Gradient Neural Dynamics for Fast Complex Matrix Inversion.
Abstract
Complex-valued matrix inversion problem is investigated by using the gradient-neural-dynamic method. Differing from the traditional processing method (only for real-valued matrix inversion), the proposed method develops a complex gradient neural dynamics for complex-valued matrix inversion in the complex domain. The advantages of the proposed method decrease the complexities in the aspects of computation, analysis, and computer simulations. Theoretical discussions and computer simulations demonstrate the efficacy and superiorness of the proposed method for online the complex-valued matrix inversion in the complex domain, as compared to the traditional processing method.
Year
DOI
Venue
2017
10.1007/978-3-319-59072-1_61
ADVANCES IN NEURAL NETWORKS, PT I
Keywords
Field
DocType
Complex-valued matrix inversion,Theoretical analysis,Complex domain,Neural dynamic model
Complex matrix,Pattern recognition,Inversion (meteorology),Matrix (mathematics),Computer science,Algorithm,Artificial intelligence,Computation
Conference
Volume
ISSN
Citations 
10261
0302-9743
2
PageRank 
References 
Authors
0.36
14
5
Name
Order
Citations
PageRank
Lin Xiao156242.84
Bolin Liao228118.70
Qinli Zeng320.36
Lei Ding414226.77
Rongbo Lu51015.12