2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/31695Self-Organising Maps (SOMs) are effective tools in classification problems, and in recent years the even more powerful Dynamic Growing Neural Networks, a variant of SOMs, have been developed. Automatic Classification (also called clustering) is an important and difficult problem in many Astrophysical experiments, for instance, Gamma Ray Burst classification, or gamma-hadron separation. After a brief introduction to classification problem, we discuss Self-Organising Maps in section 2. Section 3 discusses with various models of growing neural networks and finally in section 4 we discuss the research perspectives in growing neural networks for efficient classification in astrophysical problems.9 Pages, corrected authors name formatNeural and Evolutionary ComputingAstrophysicsArtificial IntelligenceI.5.1; I.5.3text