scholarly journals Time-of-flight discrimination between gamma-rays and neutrons by using artificial neural networks

2013 ◽  
Vol 55 ◽  
pp. 297-301 ◽  
Author(s):  
S. Akkoyun
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Gamma Rays ◽  
Time Of Flight ◽  
Artificial Neural

scholarly journals Pulse Shape Discrimination of Neutrons and Gamma Rays Using Kohonen Artificial Neural Networks

2013 ◽  
Vol 3 (2) ◽  
pp. 77-88 ◽  
Author(s):  
Tatiana Tambouratzis ◽  
Dina Chernikova ◽  
Imre Pzsit
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Gamma Rays ◽  
Pulse Shape ◽  
Energy Levels ◽  
Pulse Shape Discrimination ◽  
Shape Discrimination ◽  
Discrimination Ability ◽  
Artificial Neural ◽  
Self Organising Map

Abstract The potential of two Kohonen artificial neural networks I ANNs) - linear vector quantisa - tion (LVQ) and the self organising map (SOM) - is explored for pulse shape discrimination (PSD), i.e. for distinguishing between neutrons (n's) and gamma rays (γ’s). The effect that la) the energy level, and lb) the relative- of the training and lest sets, have on iden- tification accuracy is also evaluated on the given PSD datasel The two Kohonen ANNs demonstrate compfcmentary discrimination ability on the training and test sets: while the LVQ is consistently mote accurate on classifying the training set. the SOM exhibits higher n/γ identification rales when classifying new paltms regardless of the proportion of training and test set patterns at the different energy levels: the average tint: for decision making equals ∼100 /e in the cax of the LVQ and ∼450 μs in the case of the SOM.

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

2018 ◽  
pp. 6-11
Author(s):  
Kobiljon Kh. Zoidov ◽  
◽  
Svetlana V. Ponomareva ◽  
Daniel I. Serebryansky ◽  
◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Space Exploration ◽  
Artificial Neural

Bankruptcy Prediction Models: A Bet on Artificial Neural Networks

2012 ◽  
Vol 3 (2) ◽  
pp. 48-50
Author(s):  
Ana Isabel Velasco Fernández ◽  
◽  
Ricardo José Rejas Muslera ◽  
Juan Padilla Fernández-Vega ◽  
María Isabel Cepeda González
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Prediction Models ◽  
Bankruptcy Prediction ◽  
Artificial Neural
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