TY - GEN
T1 - Self-organizing multi-layer semantic maps
AU - Ichiki, Hiroyuki
AU - Hagiwara, Masafumi
AU - Nakagawa, Masao
PY - 1991/12/1
Y1 - 1991/12/1
N2 - Self-organizing multilayer semantic maps are proposed. Three-layer models are simulated using two examples. Since the proposed networks are multilayer type, they can do higher-level information processing compared with the conventional minimal two-layer semantic maps. The computer simulation results indicate the effectiveness of the proposed maps. The maps can do hierarchical self-classification both in a self-organizing symbol map and in a role-based semantic map.
AB - Self-organizing multilayer semantic maps are proposed. Three-layer models are simulated using two examples. Since the proposed networks are multilayer type, they can do higher-level information processing compared with the conventional minimal two-layer semantic maps. The computer simulation results indicate the effectiveness of the proposed maps. The maps can do hierarchical self-classification both in a self-organizing symbol map and in a role-based semantic map.
UR - http://www.scopus.com/inward/record.url?scp=0026391855&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0026391855&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0026391855
SN - 0780301641
T3 - Proceedings. IJCNN-91-Seattle: International Joint Conference on Neural Networks
SP - 357
EP - 360
BT - Proceedings. IJCNN-91-Seattle
A2 - Anon, null
PB - Publ by IEEE
T2 - International Joint Conference on Neural Networks - IJCNN-91-Seattle
Y2 - 8 July 1991 through 12 July 1991
ER -