امیر علوی - Department of Physics, Shoushtar Branch, Islamic Azad University, Shoushtar, Iran.
شروین سعادت - Canadian Light Source Inc., University of Saskatchewan, Saskatoon, Saskatchewan, S۷N۲V۳, Canada.
محمد رضا قنبری - Department of Basic Sciences, Garmsar Branch, Islamic Azad University, Garmsar, Iran
سید عنایت اله علوی - Department of Computer Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran.
علی کدخدایی - Earth Sciences Department, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran.

The time evolution of hard X-ray has been simulated using the NARX-GA hybrid neural network in the stable region of the plasma tokamak. Loop voltage and hard X-ray measured by the tokamak diagnostics tools were selected as network inputs. The NARX network has been trained using the Genetic Algorithm (GA) and the time evolution of the hard X-ray up to ۵۰۰ μs (MSE = ۴.۱۳ × ۱۰-۵) is accurately simulated. Increasing the confinement time is the particular purpose of applying tokamak to produce energy through fusion. The real-time application of this methodology brings us closer to this goal. Hard X-ray prediction can prevent plasma energy reduction. It can also reduce the severe damage caused by runaway electrons (RE) colliding with the tokamak wall. Early prediction of hard X-ray time evolution is critical in attempting to mitigate the REs potentially dangerous effects.

Methodology, Hard X-ray, Runaway electrons, NARX-GA network