NEURAL NETWORK MODELLING OF CARDIAC DOSE CONVERSION COEFFICIENT FOR ARBITRARY X-RAY SPECTRA

2015 ◽  
pp. ncv436
Author(s):  
O. Kadri ◽  
K. Manai
Keyword(s):  
Neural Network ◽  
Conversion Coefficient ◽  
Network Modelling ◽  
X Ray ◽  
Neural Network Modelling ◽  
Cardiac Dose ◽  
Dose Conversion Coefficient

scholarly journals Method of Predicting the Polymer Composites’ Properties Using Neural Network Modeling

2021 ◽  
Vol 346 ◽  
pp. 02015
Author(s):  
D. Vdovin ◽  
A. Abramochkin ◽  
A. Borodulin ◽  
V. Nelyub
Keyword(s):  
Neural Network ◽  
Network Modeling ◽  
Physical And Mechanical Properties ◽  
Modelling Technique ◽  
Neural Network Modeling ◽  
Network Modelling ◽  
X Ray ◽  
Neural Network Modelling ◽  
Object Of Study ◽  
Tomography Data

A neural network modelling technique and its training to diagnose polymer composite materials based on tomography data is introduced. As an object of study, carbon fiber made by vacuum infusion technology using an epoxy binder is considered. X-ray microtomography was used to analyze its structure and the provided images were used as a database for creating a neural network. A neural network modelling technique and its training was developed, including an algorithm for converting tomograph images into data on the structure of the phase composition and the physical and mechanical properties of the object under study.

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