A geometric approach to the unification of symbolic structures and neural networks:
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Cham
Springer
[2021]
|
Schriftenreihe: | Studies in computational intelligence
volume 910 |
Schlagworte: | |
Beschreibung: | xxii, 145 Seiten Illustrationen, Diagramme (teilweise farbig) |
ISBN: | 9783030562748 |
ISSN: | 1860-949X |
Internformat
MARC
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245 | 1 | 0 | |a A geometric approach to the unification of symbolic structures and neural networks |c Tiansi Dong |
264 | 1 | |a Cham |b Springer |c [2021] | |
264 | 4 | |c © 2021 | |
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650 | 4 | |a Machine learning | |
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776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-030-56275-5 |
830 | 0 | |a Studies in computational intelligence |v volume 910 |w (DE-604)BV020822171 |9 910 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-032322751 |
Datensatz im Suchindex
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adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Dong, Tiansi |
author_facet | Dong, Tiansi |
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author_sort | Dong, Tiansi |
author_variant | t d td |
building | Verbundindex |
bvnumber | BV046913348 |
classification_rvk | ST 300 |
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dewey-full | 006.3 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
discipline_str_mv | Informatik |
format | Book |
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id | DE-604.BV046913348 |
illustrated | Illustrated |
index_date | 2024-07-03T15:28:52Z |
indexdate | 2024-07-10T08:57:20Z |
institution | BVB |
isbn | 9783030562748 |
issn | 1860-949X |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032322751 |
oclc_num | 1199067985 |
open_access_boolean | |
owner | DE-11 |
owner_facet | DE-11 |
physical | xxii, 145 Seiten Illustrationen, Diagramme (teilweise farbig) |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | Springer |
record_format | marc |
series | Studies in computational intelligence |
series2 | Studies in computational intelligence |
spelling | Dong, Tiansi Verfasser aut A geometric approach to the unification of symbolic structures and neural networks Tiansi Dong Cham Springer [2021] © 2021 xxii, 145 Seiten Illustrationen, Diagramme (teilweise farbig) txt rdacontent n rdamedia nc rdacarrier Studies in computational intelligence volume 910 1860-949X Computational Intelligence Machine Learning Mathematical Models of Cognitive Processes and Neural Networks Computational intelligence Machine learning Neural networks (Computer science) Erscheint auch als Online-Ausgabe 978-3-030-56275-5 Studies in computational intelligence volume 910 (DE-604)BV020822171 910 |
spellingShingle | Dong, Tiansi A geometric approach to the unification of symbolic structures and neural networks Studies in computational intelligence Computational Intelligence Machine Learning Mathematical Models of Cognitive Processes and Neural Networks Computational intelligence Machine learning Neural networks (Computer science) |
title | A geometric approach to the unification of symbolic structures and neural networks |
title_auth | A geometric approach to the unification of symbolic structures and neural networks |
title_exact_search | A geometric approach to the unification of symbolic structures and neural networks |
title_exact_search_txtP | A geometric approach to the unification of symbolic structures and neural networks |
title_full | A geometric approach to the unification of symbolic structures and neural networks Tiansi Dong |
title_fullStr | A geometric approach to the unification of symbolic structures and neural networks Tiansi Dong |
title_full_unstemmed | A geometric approach to the unification of symbolic structures and neural networks Tiansi Dong |
title_short | A geometric approach to the unification of symbolic structures and neural networks |
title_sort | a geometric approach to the unification of symbolic structures and neural networks |
topic | Computational Intelligence Machine Learning Mathematical Models of Cognitive Processes and Neural Networks Computational intelligence Machine learning Neural networks (Computer science) |
topic_facet | Computational Intelligence Machine Learning Mathematical Models of Cognitive Processes and Neural Networks Computational intelligence Machine learning Neural networks (Computer science) |
volume_link | (DE-604)BV020822171 |
work_keys_str_mv | AT dongtiansi ageometricapproachtotheunificationofsymbolicstructuresandneuralnetworks |