June 19, 2024
Gholam Hossein Roshani

Gholam Hossein Roshani

Academic rank: Associate professor
Education: Ph.D in Nuclear Engineering
Faculty: Faculty ofٍٍ Electrical Engineering


apprroach to the highest HXR yield in plasma focus device using adaptive neurofuzzy interface system to optimize a node configuration
Type Article
Researchers M. Mahtab، Mostafa Taghipour، Gholam Hossein Roshani، M. Habibi


Adaptive neurofuzzy inference system (ANFIS) is investigated to optimize the configuration of anode shape in plasma focus devices to achieve the highest X-ray yield. Variables of discharge voltage, filling gas pressure, and angles of anode slopes (Φ1 and Φ2) are chosen as input parameters, while the output is designated to be the radiated hard X ray intensity. The trained ANFIS has achieved good agreement with the experimental results and has mean relative error percentages (MRE%) 1.12% and 2.18% for training and testing data, respectively.The study demonstrates that adaptive neurofuzzy inference system is useful, reliable, and low-cost way to the highest X-ray yield and corresponding anode configuration in plasma focus devices.