A self generating neural architecture for data analysis
L.D. Alahakoon, Saman Kumara Halgamuge, B. Srinivasan · 2003
Supervised and unsupervised self generating neural network architectures have been used in the recent past. Our previous work (1998) has described an unsupervised self generating feature map, called the growing self organising map (GSOM). In this paper we describe some extensions to the GSOM such that it could be used to map and analyse more realistic data sets.