Prediction of Optimum Design of Anode Shape for Obtaining Highest Soft X-Ray Yield in plasma Focus Device Using Adaptive Neuro-Fuzzy Inference System

The computational intelligences such as artificial neural network (ANN) and fuzzy inference system (FIS) are strong tools for prediction and simulation in engineering applications. In this study, adaptive neuro-fuzzy inference system (ANFIS) was used to optimize design of anode shape in order to achieve highest soft X-ray yield in plasma focus devices. The predicted soft X-ray values using the proposed ANFIS model were compared with the experimental data. The proposed ANFIS model achieved good agreement with the experimental results with mean relative error percentage (MRE%) less than 1.14% and 2% for training and testing data, respectively. Moreover, the obtained results showed that the proposed ANFIS model is a useful, reliable, fast and cheap tool to optimize design of anode shape in order to achieve highest soft X-ray yield in plasma focus devices.