Constraining learning linear neural networks for inverting of complex matrices

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.