Artificial neural networks used for way optimization in multi-head systems in application to electrical flying probe testers:
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Buch |
| Sprache: | Nichtbestimmte Sprache |
| Veröffentlicht: |
Würzburg
Inst. für Informatik
1994
|
| Schriftenreihe: | Institut für Informatik <Würzburg>: Report
88 |
| Umfang: | 24 S. Ill., graph. Darst. |
Internformat
MARC
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| 100 | 1 | |a Rothaug, Uwe |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Artificial neural networks used for way optimization in multi-head systems in application to electrical flying probe testers |c U. Rothaug, E. Yanenko and K. Leibnitz |
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| 490 | 1 | |a Institut für Informatik <Würzburg>: Report |v 88 | |
| 700 | 1 | |a Yanenko, Eugene |e Verfasser |4 aut | |
| 700 | 1 | |a Leibnitz, Kenji |e Verfasser |4 aut | |
| 830 | 0 | |a Institut für Informatik <Würzburg>: Report |v 88 |w (DE-604)BV007935168 |9 88 | |
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Datensatz im Suchindex
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| author | Rothaug, Uwe Yanenko, Eugene Leibnitz, Kenji |
| author_facet | Rothaug, Uwe Yanenko, Eugene Leibnitz, Kenji |
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| id | DE-604.BV012083524 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T10:24:01Z |
| institution | BVB |
| language | Undetermined |
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| physical | 24 S. Ill., graph. Darst. |
| publishDate | 1994 |
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| publisher | Inst. für Informatik |
| record_format | marc |
| series | Institut für Informatik <Würzburg>: Report |
| series2 | Institut für Informatik <Würzburg>: Report |
| spelling | Rothaug, Uwe Verfasser aut Artificial neural networks used for way optimization in multi-head systems in application to electrical flying probe testers U. Rothaug, E. Yanenko and K. Leibnitz Würzburg Inst. für Informatik 1994 24 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Institut für Informatik <Würzburg>: Report 88 Yanenko, Eugene Verfasser aut Leibnitz, Kenji Verfasser aut Institut für Informatik <Würzburg>: Report 88 (DE-604)BV007935168 88 |
| spellingShingle | Rothaug, Uwe Yanenko, Eugene Leibnitz, Kenji Artificial neural networks used for way optimization in multi-head systems in application to electrical flying probe testers Institut für Informatik <Würzburg>: Report |
| title | Artificial neural networks used for way optimization in multi-head systems in application to electrical flying probe testers |
| title_auth | Artificial neural networks used for way optimization in multi-head systems in application to electrical flying probe testers |
| title_exact_search | Artificial neural networks used for way optimization in multi-head systems in application to electrical flying probe testers |
| title_full | Artificial neural networks used for way optimization in multi-head systems in application to electrical flying probe testers U. Rothaug, E. Yanenko and K. Leibnitz |
| title_fullStr | Artificial neural networks used for way optimization in multi-head systems in application to electrical flying probe testers U. Rothaug, E. Yanenko and K. Leibnitz |
| title_full_unstemmed | Artificial neural networks used for way optimization in multi-head systems in application to electrical flying probe testers U. Rothaug, E. Yanenko and K. Leibnitz |
| title_short | Artificial neural networks used for way optimization in multi-head systems in application to electrical flying probe testers |
| title_sort | artificial neural networks used for way optimization in multi head systems in application to electrical flying probe testers |
| volume_link | (DE-604)BV007935168 |
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