Table of Contents
Journal of Experimental Physics
Volume 2014 (2014), Article ID 307403, 8 pages
http://dx.doi.org/10.1155/2014/307403
Research Article

Approach to the Highest HXR Yield in Plasma Focus Device Using Adaptive Neurofuzzy Inference System to Optimize Anode Configuration

1Energy Engineering and Physics Department, Amirkabir University of Technology, Tehran, Iran
2Department of Biomedical Engineering, Faculty of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
3Faculty of Energy, Kermanshah University of Technology, Kermanshah, Iran
4Young Researchers and Elite Club, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran

Received 28 January 2014; Accepted 10 May 2014; Published 24 June 2014

Academic Editor: Tatyana Sizyuk

Copyright © 2014 M. Mahtab et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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 interpret the highest X-ray yield and corresponding anode configuration in plasma focus devices.