TY - GEN
T1 - A proposal of «neuron mask» in neural network algorithm for combinatorial optimization problems
AU - Takenaka, Y.
AU - Funabiki, N.
AU - Nishikawa, S.
PY - 1997
Y1 - 1997
N2 - A constraint resolution scheme of the Hopfield neural network named «neuron mask» is presented for a class of combinatorial optimization problems. Neuron mask always satisfies constraints of selecting a solution candidate from each group so as to force the state of the neural network into a solution space. This paper presents the definition of neuron mask and the introduction into the neural network through the N-queens problem. The performance is verified by simulations on three computation modes, where neuron mask improves the performance of the neural network.
AB - A constraint resolution scheme of the Hopfield neural network named «neuron mask» is presented for a class of combinatorial optimization problems. Neuron mask always satisfies constraints of selecting a solution candidate from each group so as to force the state of the neural network into a solution space. This paper presents the definition of neuron mask and the introduction into the neural network through the N-queens problem. The performance is verified by simulations on three computation modes, where neuron mask improves the performance of the neural network.
UR - http://www.scopus.com/inward/record.url?scp=0030660003&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0030660003&partnerID=8YFLogxK
U2 - 10.1109/ICNN.1997.616220
DO - 10.1109/ICNN.1997.616220
M3 - Conference contribution
AN - SCOPUS:0030660003
SN - 0780341228
SN - 9780780341227
T3 - IEEE International Conference on Neural Networks - Conference Proceedings
SP - 1289
EP - 1294
BT - 1997 IEEE International Conference on Neural Networks, ICNN 1997
T2 - 1997 IEEE International Conference on Neural Networks, ICNN 1997
Y2 - 9 June 1997 through 12 June 1997
ER -