Ahmad, M. AyazVictoria, Anghel Drugarin C.Baker, Jalal H.Lyashenko, V.2021-09-252021-09-252020Ahmad M. A., Victoria A. D C., Baker J. H., Lyashenko V. Some evidences of multiplicity fluctuations in relativistic nuclear collisions and Neural Networking (N-N) model // Academia Journal of Scientific Research. – 2020. – Vol. 8(12). – pp. 383-386.2315-7712https://openarchive.nure.ua/handle/document/17679This study attempted to investigate some features of non-thermal phase transitions during the relativistic heavy ion collisions. The collisions that occurred were a beam of 28Si (projectile) hits the heterogeneous mixture of nuclear emulsion (fixed target) @ energy 14.6A GeV and we recorded 951 events of relativistic nuclear collisions. Thereafter, for the final statistical study, we made three different groups of data sets such as 28Si+CNO, 28Si+Emulsion and 28Si+AgBr. The results of the experiment was compared with neural network (N-N) model and a good agreement found between the theory and experiment of relativistic heavy ion collisions.enIntermittencyScaled Factorial MomentsArticle