PTGNG: An Evolutionary Approach for Parameter Optimization in the Growing Neural Gas Algorithm

• Published in: International Journal of Computational and Experimental Science and Engineering Vol. 9; no. 2; pp. 91 - 101
• Main Authors: ALALKAWI, Mohanad Dhari Jassam, AL SHEHABI, Shadi, YILDIRIM IMAMOGLU, Meltem
• Format: Journal Article
• Language: English
• Published: 30.06.2023

Growing Neural Gas (GNG) algorithm is an unsupervised learning algorithm which belongs to the competitive learning family. Since then, GNG has been a subject to vaious developments and implementations found in the literatures for two main reasons: first, the number of neurons (i.e., nodes) is adapti...