TY - GEN
T1 - Solving the shortest path routing problem using noisy hopfield neural networks
AU - Liu, Wen
AU - Wang, Lipo
PY - 2009
Y1 - 2009
N2 - To improve neural network algorithms for the shortest path routing problem (SPRP), we propose a solution using a noisy Hopfield neural network (NHNN), i.e., by adding decaying stochastic noise to the continuous Hopfield neural network (HNN). We also modify the energy function for the SPRP. Simulation results show that our approach achieves better route optimality compared to other algorithms that employ the HNN.
AB - To improve neural network algorithms for the shortest path routing problem (SPRP), we propose a solution using a noisy Hopfield neural network (NHNN), i.e., by adding decaying stochastic noise to the continuous Hopfield neural network (HNN). We also modify the energy function for the SPRP. Simulation results show that our approach achieves better route optimality compared to other algorithms that employ the HNN.
UR - http://www.scopus.com/inward/record.url?scp=64749089085&partnerID=8YFLogxK
U2 - 10.1109/CMC.2009.366
DO - 10.1109/CMC.2009.366
M3 - Conference Proceeding
AN - SCOPUS:64749089085
SN - 9780769535012
T3 - Proceedings - 2009 WRI International Conference on Communications and Mobile Computing, CMC 2009
SP - 299
EP - 302
BT - Proceedings - 2009 WRI International Conference on Communications and Mobile Computing, CMC 2009
T2 - 2009 WRI International Conference on Communications and Mobile Computing, CMC 2009
Y2 - 6 January 2009 through 8 January 2009
ER -