Application of the artificial neural networks for alpha spectrometry by means of plastic detector CR-39
New technique of alpha spectrometry with usage of solid state nuclear track detectors, based on application of artificial neural networks, was described. For tracks images recognition, which was obtained by optical microscope, we applied a neural network of opposite propagation. Effective selectio...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute for Nuclear Research, National Academy of Sciences of Ukraine
2006-12-01
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| Series: | Âderna Fìzika ta Energetika |
| Online Access: | http://jnpae.kinr.kiev.ua/18(2)/Articles_PDF/jnpae-2006-2(18)-0143-Onishchuk_fin.pdf |
| Summary: | New technique of alpha spectrometry with usage of solid state nuclear track detectors, based on application of artificial
neural networks, was described. For tracks images recognition, which was obtained by optical microscope, we applied
a neural network of opposite propagation. Effective selection of different tracks types and their discrimination
from noises was achieved. Due to this the energy resolution of technique was improved. Presented approach is very
perspective alternative of tracks discrimination as the traditional methods of shapes algorithmization are too complicated
and dependent on scanning conditions. |
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| ISSN: | 1818-331X 2074-0565 |