Some Applications of Artificial Neural Network in Nuclear Engineering

In this book some applications of artificial neural network in nuclear engineering are presented. In densitometry, number of scattered and counted gamma photons highly depends on material density. Using this relation, two different multi-layer perceptron artificial neural networks are proposed to predict material density. The results of proposed ANNs show that the presented model could be employed in densitometry of materials. Furthermore, the development of an ANN model for prediction of the highest value of X-ray yield in PFs is showed. The comparison between predicted and experimental results by ANN model illustrates that there is a good adaptation between them. So, the MLP architecture can be applied as a high efficient tool to predict the highest value of X-ray yield in the PFs.

About the author

He was born in Kermanshah and received the BEng in Electrical Engineering in 2008, Razi University.He received the MEng in Nuclear Engineering in 2011,Amirkabir University of Technology.He is currently working toward the PhD degree in Nuclear Engineering,Shahid Beheshti University.He was proud to achieve the brilliant student award of Iran in 2013.

Product details

• Authors: Seye Feghhi, Seyed Amir Hossein Feghhi, Gholam Hossei Roshani, Gholam Hossein Roshani, Farzi Shama, Farzin Shama
• Publisher: LAP Lambert Academic Publishing
• Languages: English, German
• Product format: Paperback / Softback
• Released: 01.01.2013
• EAN: 9783659384189
• ISBN: 978-3-659-38418-9
• No. of pages: 84
• Subject: Natural sciences, medicine, IT, technology > Physics, astronomy > Atomic physics, nuclear physics