Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/37710
Title: Constraining learning linear neural networks for inverting of complex matrices
Authors: Huang, DS
Chi, Z 
Issue Date: 2001
Source: Proceedings of the International Joint Conference on Neural Networks (IJCNN'2001), Washington, DC, U., 15-19 July 2001 How to cite?
Abstract: This paper proposes using linear feedfonvard neural networks trained by constrained learning algorithm (CLA) to find the inversion of nonsingular complex matrix (A) . Where the corresponding constraint relations for this problem is just AA' = I (where A' is the inverse matrix of A and I is the identity matrix). Finally, some experimental results are reported and discussed.
URI: http://hdl.handle.net/10397/37710
ISBN: 0-7803-7044-9
ISSN: 1098-7576
DOI: 10.1109/IJCNN.2001.1016715
Appears in Collections:Conference Paper

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