TY - GEN
T1 - Recurrent neural network for solving nonlinear projection equations
AU - Xia, Youshen
AU - Wang, Jun
PY - 2000
Y1 - 2000
N2 - A recurrent neural network model for solving nonlinear projection equation is proposed. The neural network model can be realized by a circuit where the projection operator may be implemented by using a piecewise activation function. Theorems are presented to prove the method.
AB - A recurrent neural network model for solving nonlinear projection equation is proposed. The neural network model can be realized by a circuit where the projection operator may be implemented by using a piecewise activation function. Theorems are presented to prove the method.
UR - http://www.scopus.com/inward/record.url?scp=0033717364&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0033717364&origin=recordpage
M3 - RGC 32 - Refereed conference paper (with host publication)
VL - 6
SP - 492
EP - 497
BT - Proceedings of the International Joint Conference on Neural Networks
PB - IEEE
T2 - International Joint Conference on Neural Networks (IJCNN'2000)
Y2 - 24 July 2000 through 27 July 2000
ER -