TY - GEN
T1 - Discrete-time primal-dual assignment network
AU - Wang, Jun
AU - Xia, Youshen
PY - 1998
Y1 - 1998
N2 - This paper presents a discrete-time recurrent neural network for solving the assignment problem. Because the proposed recurrent neural network solves the primal and dual assignment problems simultaneously, it is named as the primal-dual assignment network. The primal-dual assignment network is guaranteed to make optimal assignment regardless of initial conditions. Unlike the primal or dual assignment network, there is no time-varying design parameter in the primal-dual assignment network. Therefore, it is more suitable for hardware implementation. The performance and operating characteristics of the primal-dual assignment network are demonstrated by means of illustrative examples.
AB - This paper presents a discrete-time recurrent neural network for solving the assignment problem. Because the proposed recurrent neural network solves the primal and dual assignment problems simultaneously, it is named as the primal-dual assignment network. The primal-dual assignment network is guaranteed to make optimal assignment regardless of initial conditions. Unlike the primal or dual assignment network, there is no time-varying design parameter in the primal-dual assignment network. Therefore, it is more suitable for hardware implementation. The performance and operating characteristics of the primal-dual assignment network are demonstrated by means of illustrative examples.
UR - https://www.scopus.com/pages/publications/0031632910
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0031632910&origin=recordpage
M3 - RGC 32 - Refereed conference paper (with host publication)
VL - 2
SP - 1596
EP - 1601
BT - IEEE International Conference on Neural Networks - Conference Proceedings
PB - IEEE
T2 - 1998 IEEE International Joint Conference on Neural Networks (IJCNN 1998)
Y2 - 4 May 1998 through 9 May 1998
ER -