Title :
Convergence of self-organizing nets with high dimensional neighborhood relation
Author :
Yang, Hua ; Palaniswami, M.
Author_Institution :
La Trobe Univ., Bundoora, Vic., Australia
Abstract :
A self-organizing neural network with a neighborhood in a high-dimensional space is introduced. A convergence result for its learning algorithm is given. This result is not only valid for the network with a high-dimensional lattice neighborhood but also for the one with the neighborhood on a two-dimensional hexagon array
Keywords :
learning (artificial intelligence); self-organising feature maps; convergence; high dimensional neighborhood relation; learning algorithm; self-organizing nets; two-dimensional hexagon array; Boolean functions; Convergence; Extraterrestrial measurements; Lattices; Nearest neighbor searches; Network topology; Neurons; Prototypes;
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
DOI :
10.1109/IJCNN.1992.227150
