Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components
A multistage recognition approach is advanced for poorly classified clusters. According to this approach, if a sample is related to a cluster that is common for several samples, then further object recognition (within that cluster) is possible. Such two-stage recognition procedure is based, at ea...
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| Published in: | Semiconductor Physics Quantum Electronics & Optoelectronics |
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| Date: | 2008 |
| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України
2008
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| Online Access: | https://nasplib.isofts.kiev.ua/handle/123456789/119056 |
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| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components / I.V. Kruglenko // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2008. — Т. 11, № 3. — С. 240-244. — Бібліогр.: 14 назв. — англ. |
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Digital Library of Periodicals of National Academy of Sciences of Ukraine| Summary: | A multistage recognition approach is advanced for poorly classified clusters.
According to this approach, if a sample is related to a cluster that is common for several
samples, then further object recognition (within that cluster) is possible. Such two-stage
recognition procedure is based, at each stage, on the fuzzy logic concept and enables one
to perform practically complete recognition of all the samples under consideration.
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| ISSN: | 1560-8034 |