Principles of neurocomputing for science and engineering:
"Principles of Neurocomputing for Science and Engineering is a textbook intended for individuals who want to understand the underlying principles of artificial neural networks for neurocomputing and for those who want to be able to apply various neurocomputing techniques to solve real-world pro...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York [u.a.]
McGraw-Hill
2001
|
| Schlagworte: | |
| Zusammenfassung: | "Principles of Neurocomputing for Science and Engineering is a textbook intended for individuals who want to understand the underlying principles of artificial neural networks for neurocomputing and for those who want to be able to apply various neurocomputing techniques to solve real-world problems in science and engineering Neurocomputing can be applied to problems such as pattern recognition, optimization, event classification, control and identification of nonlinear systems, and statistical analysis - just to name a few. This book is intended for a course in neural networks."--BOOK JACKET |
| Beschreibung: | XXX, 642 S. graph. Darst. |
| ISBN: | 0070259666 |
Internformat
MARC
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| 245 | 1 | 0 | |a Principles of neurocomputing for science and engineering |c Fredric M. Ham ; Ivica Kostanic |
| 264 | 1 | |a New York [u.a.] |b McGraw-Hill |c 2001 | |
| 300 | |a XXX, 642 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 520 | 1 | |a "Principles of Neurocomputing for Science and Engineering is a textbook intended for individuals who want to understand the underlying principles of artificial neural networks for neurocomputing and for those who want to be able to apply various neurocomputing techniques to solve real-world problems in science and engineering | |
| 520 | |a Neurocomputing can be applied to problems such as pattern recognition, optimization, event classification, control and identification of nonlinear systems, and statistical analysis - just to name a few. This book is intended for a course in neural networks."--BOOK JACKET | ||
| 650 | 4 | |a Neural computers | |
| 650 | 4 | |a Neural networks (Computer science) | |
| 650 | 0 | 7 | |a Neurocomputer |0 (DE-588)4200446-9 |2 gnd |9 rswk-swf |
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| 700 | 1 | |a Kostanic, Ivica |e Verfasser |4 aut | |
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Datensatz im Suchindex
| _version_ | 1804128695026188288 |
|---|---|
| any_adam_object | |
| author | Ham, Fredric M. Kostanic, Ivica |
| author_facet | Ham, Fredric M. Kostanic, Ivica |
| author_role | aut aut |
| author_sort | Ham, Fredric M. |
| author_variant | f m h fm fmh i k ik |
| building | Verbundindex |
| bvnumber | BV013861177 |
| 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 | ST 152 |
| ctrlnum | (OCoLC)44391536 (DE-599)BVBBV013861177 |
| 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 |
| format | Book |
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| id | DE-604.BV013861177 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T18:53:19Z |
| institution | BVB |
| isbn | 0070259666 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009480515 |
| oclc_num | 44391536 |
| open_access_boolean | |
| owner | DE-703 DE-634 |
| owner_facet | DE-703 DE-634 |
| physical | XXX, 642 S. graph. Darst. |
| publishDate | 2001 |
| publishDateSearch | 2001 |
| publishDateSort | 2001 |
| publisher | McGraw-Hill |
| record_format | marc |
| spelling | Ham, Fredric M. Verfasser aut Principles of neurocomputing for science and engineering Fredric M. Ham ; Ivica Kostanic New York [u.a.] McGraw-Hill 2001 XXX, 642 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier "Principles of Neurocomputing for Science and Engineering is a textbook intended for individuals who want to understand the underlying principles of artificial neural networks for neurocomputing and for those who want to be able to apply various neurocomputing techniques to solve real-world problems in science and engineering Neurocomputing can be applied to problems such as pattern recognition, optimization, event classification, control and identification of nonlinear systems, and statistical analysis - just to name a few. This book is intended for a course in neural networks."--BOOK JACKET Neural computers Neural networks (Computer science) Neurocomputer (DE-588)4200446-9 gnd rswk-swf Neurocomputer (DE-588)4200446-9 s DE-604 Kostanic, Ivica Verfasser aut |
| spellingShingle | Ham, Fredric M. Kostanic, Ivica Principles of neurocomputing for science and engineering Neural computers Neural networks (Computer science) Neurocomputer (DE-588)4200446-9 gnd |
| subject_GND | (DE-588)4200446-9 |
| title | Principles of neurocomputing for science and engineering |
| title_auth | Principles of neurocomputing for science and engineering |
| title_exact_search | Principles of neurocomputing for science and engineering |
| title_full | Principles of neurocomputing for science and engineering Fredric M. Ham ; Ivica Kostanic |
| title_fullStr | Principles of neurocomputing for science and engineering Fredric M. Ham ; Ivica Kostanic |
| title_full_unstemmed | Principles of neurocomputing for science and engineering Fredric M. Ham ; Ivica Kostanic |
| title_short | Principles of neurocomputing for science and engineering |
| title_sort | principles of neurocomputing for science and engineering |
| topic | Neural computers Neural networks (Computer science) Neurocomputer (DE-588)4200446-9 gnd |
| topic_facet | Neural computers Neural networks (Computer science) Neurocomputer |
| work_keys_str_mv | AT hamfredricm principlesofneurocomputingforscienceandengineering AT kostanicivica principlesofneurocomputingforscienceandengineering |