TY - JOUR
T1 - Recurrent neural networks for LU decomposition and Cholesky factorization
AU - Wang, J.
AU - Wu, G.
PY - 1993/9
Y1 - 1993/9
N2 - Two recurrent neural networks are presented for LU decomposition and Cholesky factorization. The proposed recurrent neural networks consist of two bidirectionally connected layers and each layer consists of an array of neurons. The proposed recurrent neural networks are proven to be asymptotically stable in the large and capable of LU decomposition and Cholesky factorization. © 1993.
AB - Two recurrent neural networks are presented for LU decomposition and Cholesky factorization. The proposed recurrent neural networks consist of two bidirectionally connected layers and each layer consists of an array of neurons. The proposed recurrent neural networks are proven to be asymptotically stable in the large and capable of LU decomposition and Cholesky factorization. © 1993.
UR - http://www.scopus.com/inward/record.url?scp=38248999254&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-38248999254&origin=recordpage
U2 - 10.1016/0895-7177(93)90121-E
DO - 10.1016/0895-7177(93)90121-E
M3 - RGC 21 - Publication in refereed journal
SN - 0895-7177
VL - 18
SP - 1
EP - 8
JO - Mathematical and Computer Modelling
JF - Mathematical and Computer Modelling
IS - 6
ER -