@article{article_22823, title={A study on estimation of electric quadrupole transition probability in nuclei}, journal={Journal of Nuclear Sciences}, volume={2}, pages={7–10}, year={2015}, DOI={10.1501/nuclear_0000000009}, url={https://izlik.org/JA77NU29BA}, author={Akkoyun, S. and Bayram, T. and Kara, S.o.}, keywords={Electric quadrupole transition probability, atomic structure, artificial neural network}, abstract={<p>The reduced electric quadrupole transition probability (B(E2)↑) between 0 <sup>+ </sup> ground state and 2 <sup>+ </sup>state in nuclei is an important quantity because it represents basic nuclear information on energies of low-lying levels in the nuclei. It provides knowledge about deformation of nuclei. In this study, the B(E2)↑ values of some even-even nuclei in 110 A 190 region have been estimated by using artificial neural network (ANN) method which is a non-linear approximator. The present study shows that ANN is found to be useful in order to predict B(E2)↑ values of even-even nuclei in this region. </p>}, number={1}