Modelling memory functions with recurrent neural networks consisting of input compensation units: 1 Static situations
Gespeichert in:
| Hauptverfasser: | , , |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Bielefeld
Univ.
2006
|
| Schriftenreihe: | Materialien, Preprints / Universität Bielefeld, Forschungsschwerpunkt Mathematisierung - Strukturbildungsprozesse
172 Materialien, Preprints / Universität Bielefeld, Forschungsschwerpunkt Mathematisierung - Strukturbildungsprozesse ... |
| Beschreibung: | 27 S. graph. Darst. |
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| index_date | 2024-07-02T17:15:24Z |
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| series2 | Materialien, Preprints / Universität Bielefeld, Forschungsschwerpunkt Mathematisierung - Strukturbildungsprozesse |
| spelling | Kühn, Simone Verfasser aut Modelling memory functions with recurrent neural networks consisting of input compensation units 1 Static situations Simone Kühn, Wolf-Jürgen Beyn and Holk Cruse Bielefeld Univ. 2006 27 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Materialien, Preprints / Universität Bielefeld, Forschungsschwerpunkt Mathematisierung - Strukturbildungsprozesse 172 Materialien, Preprints / Universität Bielefeld, Forschungsschwerpunkt Mathematisierung - Strukturbildungsprozesse ... Beyn, Wolf-Jürgen Verfasser aut Cruse, Holk 1942- Verfasser (DE-588)108283704 aut (DE-604)BV022392685 1 Universität Bielefeld, Forschungsschwerpunkt Mathematisierung - Strukturbildungsprozesse Materialien, Preprints 172 (DE-604)BV009697493 172 |
| spellingShingle | Kühn, Simone Beyn, Wolf-Jürgen Cruse, Holk 1942- Modelling memory functions with recurrent neural networks consisting of input compensation units |
| title | Modelling memory functions with recurrent neural networks consisting of input compensation units |
| title_auth | Modelling memory functions with recurrent neural networks consisting of input compensation units |
| title_exact_search | Modelling memory functions with recurrent neural networks consisting of input compensation units |
| title_exact_search_txtP | Modelling memory functions with recurrent neural networks consisting of input compensation units |
| title_full | Modelling memory functions with recurrent neural networks consisting of input compensation units 1 Static situations Simone Kühn, Wolf-Jürgen Beyn and Holk Cruse |
| title_fullStr | Modelling memory functions with recurrent neural networks consisting of input compensation units 1 Static situations Simone Kühn, Wolf-Jürgen Beyn and Holk Cruse |
| title_full_unstemmed | Modelling memory functions with recurrent neural networks consisting of input compensation units 1 Static situations Simone Kühn, Wolf-Jürgen Beyn and Holk Cruse |
| title_short | Modelling memory functions with recurrent neural networks consisting of input compensation units |
| title_sort | modelling memory functions with recurrent neural networks consisting of input compensation units static situations |
| volume_link | (DE-604)BV022392685 (DE-604)BV009697493 |
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