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.
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