Table of Contents Author Guidelines Submit a Manuscript
Journal of Engineering
Volume 2014, Article ID 798160, 7 pages
http://dx.doi.org/10.1155/2014/798160
Research Article

Prediction of Neutron Yield of IR-IECF Facility in High Voltages Using Artificial Neural Network

1Plasma and Fusion Research School, Nuclear Science and Technology Research Institute, Tehran, Iran
2Faculty of New Science and Technology, University of Isfahan, Isfahan, Iran
3Department of Radiation Application, Shahid Beheshti University, GC, Tehran, Iran
4Young Researchers and Elite Club, Islamic Azad University, Kermanshah Branch, Kermanshah, Iran
5Department of Energy Engineering and Physics, Amirkabir University of Technology, Tehran, Iran

Received 18 July 2014; Revised 2 November 2014; Accepted 2 November 2014; Published 16 December 2014

Academic Editor: Jyh-Hong Chou

Copyright © 2014 A. Sadighzadeh 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.

How to Cite this Article

A. Sadighzadeh, A. Salehizadeh, M. Mohammadzadeh, et al., “Prediction of Neutron Yield of IR-IECF Facility in High Voltages Using Artificial Neural Network,” Journal of Engineering, vol. 2014, Article ID 798160, 7 pages, 2014. https://doi.org/10.1155/2014/798160.