Akademik Veri Yönetim Sistemi
2nd International Conference on Mathematical Modeling in Physical Sciences (IC-MSQUARE), Prague, Çek Cumhuriyeti, 1 - 05 Eylül 2013, cilt.490
Investigations of superheavy elements (SHE) have received much attention in the last two decades, due to the successful syntheses of SHE. In particular, alpha-decay of SHEs has a great importance because most synthesized SHE have alpha-decay and the experimentalists have evaluated the theoretical predictions of the alpha-decay half-life during the experimental design. Because of this, the correct prediction of alpha-decay half-life is important to investigate superheavy nuclei as well as heavy nuclei. In this work, artificial neural networks (ANN) have been employed on experimental alpha-decay half-lives of superheavy nuclei. Statistical modeling of alpha-decay half-life of superheavy nuclei have been found as to be successful.