Analysis of photon scattering trends for material classification using artificial neural network models

Analysis of photon scattering trends for material classification using artificial neural network models

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In this project, we concentrate on using the Artificial Neural Network (ANN) approach to analyze the photon scattering trend given by specific materials. The aim of this project is to fully utilize the scatter components of an interrogating gamma-ray radiation beam in order to determine the types of...

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Bibliographic Details
Main Authors: Bradley, D.A (Author), Hashim, S. (Author), Mohd Saad, W.H (Author), Rahman, A.T.A (Author), Saripan, M.I (Author), Wells, K. (Author)
Format: Article
Language:English
Subjects:
Artificial neural network (ANN)
Artificial neural network models
Classification
Depth determination
Electromagnetic Radiation
Electromagnetic wave scattering
Gamma rays
Gamma Rays
High-density materials
Material classification
Materials
MCNP
Mean absolute error
Monte Carlo N particle code
Neural networks
Neural Networks
Optical Scattering
Specific materials
Stainless steel
Stainless Steel
Wood
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