he 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.
