Feed forward neural network methodology:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York
Springer
1999
|
| Schlagworte: | |
| ISBN: | 0387987452 |
Internformat
MARC
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| 100 | 1 | |a Fine, Terrence L. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Feed forward neural network methodology |
| 264 | 1 | |a New York |b Springer |c 1999 | |
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 7 | |a Kunstmatige intelligentie |2 gtt | |
| 650 | 4 | |a Réseaux neuronaux (Informatique) | |
| 650 | 7 | |a Réseaux neuronaux (informatique) |2 ram | |
| 650 | 7 | |a apprentissage |2 inriac | |
| 650 | 7 | |a architecture réseau neuronal |2 inriac | |
| 650 | 7 | |a modélisation non linéaire |2 inriac | |
| 650 | 7 | |a réseau multicouche |2 inriac | |
| 650 | 7 | |a réseau neuronal |2 inriac | |
| 650 | 7 | |a rétropropagation |2 inriac | |
| 650 | 4 | |a Feedforward control systems | |
| 650 | 4 | |a Neural networks (Computer science) | |
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Datensatz im Suchindex
| _version_ | 1804127463694925824 |
|---|---|
| any_adam_object | |
| author | Fine, Terrence L. |
| author_facet | Fine, Terrence L. |
| author_role | aut |
| author_sort | Fine, Terrence L. |
| author_variant | t l f tl tlf |
| building | Verbundindex |
| bvnumber | BV012791260 |
| callnumber-first | Q - Science |
| callnumber-label | QA76 |
| callnumber-raw | QA76.87 |
| callnumber-search | QA76.87 |
| callnumber-sort | QA 276.87 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | SK 950 ST 301 |
| ctrlnum | (OCoLC)40489187 (DE-599)BVBBV012791260 |
| dewey-full | 006.3/2 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/2 |
| dewey-search | 006.3/2 |
| dewey-sort | 16.3 12 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Mathematik |
| format | Book |
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| id | DE-604.BV012791260 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T18:33:45Z |
| institution | BVB |
| isbn | 0387987452 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-008700377 |
| oclc_num | 40489187 |
| open_access_boolean | |
| owner | DE-898 DE-BY-UBR DE-634 DE-83 DE-11 DE-525 |
| owner_facet | DE-898 DE-BY-UBR DE-634 DE-83 DE-11 DE-525 |
| publishDate | 1999 |
| publishDateSearch | 1999 |
| publishDateSort | 1999 |
| publisher | Springer |
| record_format | marc |
| spelling | Fine, Terrence L. Verfasser aut Feed forward neural network methodology New York Springer 1999 txt rdacontent n rdamedia nc rdacarrier Kunstmatige intelligentie gtt Réseaux neuronaux (Informatique) Réseaux neuronaux (informatique) ram apprentissage inriac architecture réseau neuronal inriac modélisation non linéaire inriac réseau multicouche inriac réseau neuronal inriac rétropropagation inriac Feedforward control systems Neural networks (Computer science) Mehrschichten-Perzeptron (DE-588)4354626-2 gnd rswk-swf Mehrschichten-Perzeptron (DE-588)4354626-2 s DE-604 |
| spellingShingle | Fine, Terrence L. Feed forward neural network methodology Kunstmatige intelligentie gtt Réseaux neuronaux (Informatique) Réseaux neuronaux (informatique) ram apprentissage inriac architecture réseau neuronal inriac modélisation non linéaire inriac réseau multicouche inriac réseau neuronal inriac rétropropagation inriac Feedforward control systems Neural networks (Computer science) Mehrschichten-Perzeptron (DE-588)4354626-2 gnd |
| subject_GND | (DE-588)4354626-2 |
| title | Feed forward neural network methodology |
| title_auth | Feed forward neural network methodology |
| title_exact_search | Feed forward neural network methodology |
| title_full | Feed forward neural network methodology |
| title_fullStr | Feed forward neural network methodology |
| title_full_unstemmed | Feed forward neural network methodology |
| title_short | Feed forward neural network methodology |
| title_sort | feed forward neural network methodology |
| topic | Kunstmatige intelligentie gtt Réseaux neuronaux (Informatique) Réseaux neuronaux (informatique) ram apprentissage inriac architecture réseau neuronal inriac modélisation non linéaire inriac réseau multicouche inriac réseau neuronal inriac rétropropagation inriac Feedforward control systems Neural networks (Computer science) Mehrschichten-Perzeptron (DE-588)4354626-2 gnd |
| topic_facet | Kunstmatige intelligentie Réseaux neuronaux (Informatique) Réseaux neuronaux (informatique) apprentissage architecture réseau neuronal modélisation non linéaire réseau multicouche réseau neuronal rétropropagation Feedforward control systems Neural networks (Computer science) Mehrschichten-Perzeptron |
| work_keys_str_mv | AT fineterrencel feedforwardneuralnetworkmethodology |