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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| Опубліковано в: : | Semiconductor Physics Quantum Electronics & Optoelectronics |
|---|---|
| Дата: | 2008 |
| Автор: | |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України
2008
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| Онлайн доступ: | https://nasplib.isofts.kiev.ua/handle/123456789/119056 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Цитувати: | 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. |
Репозитарії
Digital Library of Periodicals of National Academy of Sciences of Ukraine| id |
nasplib_isofts_kiev_ua-123456789-119056 |
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Kruglenko, I.V. 2017-06-03T04:49:19Z 2017-06-03T04:49:19Z 2008 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. 1560-8034 PACS https://nasplib.isofts.kiev.ua/handle/123456789/119056 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. The author is grateful to Dr. B. Snopok for helpful discussions. en Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України Semiconductor Physics Quantum Electronics & Optoelectronics Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components Article published earlier |
| institution |
Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| collection |
DSpace DC |
| title |
Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components |
| spellingShingle |
Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components Kruglenko, I.V. |
| title_short |
Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components |
| title_full |
Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components |
| title_fullStr |
Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components |
| title_full_unstemmed |
Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components |
| title_sort |
improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components |
| author |
Kruglenko, I.V. |
| author_facet |
Kruglenko, I.V. |
| publishDate |
2008 |
| language |
English |
| container_title |
Semiconductor Physics Quantum Electronics & Optoelectronics |
| publisher |
Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України |
| format |
Article |
| description |
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.
|
| issn |
1560-8034 |
| url |
https://nasplib.isofts.kiev.ua/handle/123456789/119056 |
| citation_txt |
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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AT kruglenkoiv improvementofsensorresponsereproducibilityandmultistagerecognitionapproachforsampleswithdominantcomponents |
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2025-11-30T20:49:23Z |
| last_indexed |
2025-11-30T20:49:23Z |
| _version_ |
1850858479097479168 |