Efficient time-series forecasting of nuclear reactions using swarm intelligence algorithms

• Published in: International journal of electrical and computer engineering (Malacca, Malacca) Vol. 12; no. 5; p. 5093
• Main Authors: Shaker Mehdy, Hala, Jabbar Qasim, Nariman, Hadi Abbas, Haider, Al_Barazanchi, Israa, Muwafaq Gheni, Hassan
• Format: Journal Article
• Language: English
• Published: Yogyakarta IAES Institute of Advanced Engineering and Science 01.10.2022
• Subjects: Algorithms; Artificial neural networks; Energy consumption; Forecasting; Nuclear fusion; Nuclear reactions; Swarm intelligence; Ticks; Time series

In this research paper, we focused on the developing a secure and efficient time-series forecasting of nuclear reactions using swarm intelligence (SI) algorithm. Nuclear radioactive management and efficient time series for casting of nuclear reactions is a problem to be addressed if nuclear power is...