Computational neural networks for geophysical data processing:
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
New York
Pergamon
2001
|
| Ausgabe: | 1st ed |
| Schriftenreihe: | Handbook of geophysical exploration
v. 30 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | This book was primarily written for an audience that has heard about neural networks or has had some experience with the algorithms, but would like to gain a deeper understanding of the fundamental material. For those that already have a solid grasp of how to create a neural network application, this work can provide a wide range of examples of nuances in network design, data set design, testing strategy, and error analysis. Computational, rather than artificial, modifiers are used for neural networks in this book to make a distinction between networks that are implemented in hardware and those that are implemented in software. The term artificial neural network covers any implementation that is inorganic and is the most general term. Computational neural networks are only implemented in software but represent the vast majority of applications. While this book cannot provide a blue print for every conceivable geophysics application, it does outline a basic approach that has been used successfully Includes bibliographical references and indexes |
| Beschreibung: | 1 Online-Ressource (xiii, 335 p.) |
| ISBN: | 9780080439860 0080439861 |
Internformat
MARC
| LEADER | 00000nmm a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV042309049 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 150129s2001 |||| o||u| ||||||eng d | ||
| 020 | |a 9780080439860 |9 978-0-08-043986-0 | ||
| 020 | |a 0080439861 |9 0-08-043986-1 | ||
| 035 | |a (OCoLC)162566971 | ||
| 035 | |a (DE-599)BVBBV042309049 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-1046 | ||
| 082 | 0 | |a 622/.15/0285632 |2 22 | |
| 245 | 1 | 0 | |a Computational neural networks for geophysical data processing |c edited by Mary M. Poulton |
| 250 | |a 1st ed | ||
| 264 | 1 | |a New York |b Pergamon |c 2001 | |
| 300 | |a 1 Online-Ressource (xiii, 335 p.) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Handbook of geophysical exploration |v v. 30 | |
| 500 | |a This book was primarily written for an audience that has heard about neural networks or has had some experience with the algorithms, but would like to gain a deeper understanding of the fundamental material. For those that already have a solid grasp of how to create a neural network application, this work can provide a wide range of examples of nuances in network design, data set design, testing strategy, and error analysis. Computational, rather than artificial, modifiers are used for neural networks in this book to make a distinction between networks that are implemented in hardware and those that are implemented in software. The term artificial neural network covers any implementation that is inorganic and is the most general term. Computational neural networks are only implemented in software but represent the vast majority of applications. While this book cannot provide a blue print for every conceivable geophysics application, it does outline a basic approach that has been used successfully | ||
| 500 | |a Includes bibliographical references and indexes | ||
| 650 | 7 | |a Neural networks (Computer science) |2 fast | |
| 650 | 7 | |a Prospecting / Geophysical methods / Data processing |2 fast | |
| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a Prospecting |x Geophysical methods |x Data processing | |
| 650 | 4 | |a Neural networks (Computer science) | |
| 700 | 1 | |a Poulton, Mary M. |e Sonstige |4 oth | |
| 856 | 4 | 0 | |u http://www.sciencedirect.com/science/book/9780080439860 |x Verlag |3 Volltext |
| 912 | |a ZDB-33-ESD |a ZDB-33-EBS | ||
| 940 | 1 | |q FAW_PDA_ESD | |
| 940 | 1 | |q FLA_PDA_ESD | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-027746041 | ||
Datensatz im Suchindex
| _version_ | 1804152896078479360 |
|---|---|
| any_adam_object | |
| building | Verbundindex |
| bvnumber | BV042309049 |
| collection | ZDB-33-ESD ZDB-33-EBS |
| ctrlnum | (OCoLC)162566971 (DE-599)BVBBV042309049 |
| dewey-full | 622/.15/0285632 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 622 - Mining and related operations |
| dewey-raw | 622/.15/0285632 |
| dewey-search | 622/.15/0285632 |
| dewey-sort | 3622 215 6285632 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Bergbau / Hüttenwesen |
| edition | 1st ed |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02484nmm a2200433zcb4500</leader><controlfield tag="001">BV042309049</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">150129s2001 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780080439860</subfield><subfield code="9">978-0-08-043986-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0080439861</subfield><subfield code="9">0-08-043986-1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)162566971</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042309049</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1046</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">622/.15/0285632</subfield><subfield code="2">22</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Computational neural networks for geophysical data processing</subfield><subfield code="c">edited by Mary M. Poulton</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York</subfield><subfield code="b">Pergamon</subfield><subfield code="c">2001</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xiii, 335 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Handbook of geophysical exploration</subfield><subfield code="v">v. 30</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">This book was primarily written for an audience that has heard about neural networks or has had some experience with the algorithms, but would like to gain a deeper understanding of the fundamental material. For those that already have a solid grasp of how to create a neural network application, this work can provide a wide range of examples of nuances in network design, data set design, testing strategy, and error analysis. Computational, rather than artificial, modifiers are used for neural networks in this book to make a distinction between networks that are implemented in hardware and those that are implemented in software. The term artificial neural network covers any implementation that is inorganic and is the most general term. Computational neural networks are only implemented in software but represent the vast majority of applications. While this book cannot provide a blue print for every conceivable geophysics application, it does outline a basic approach that has been used successfully</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and indexes</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Neural networks (Computer science)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Prospecting / Geophysical methods / Data processing</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Datenverarbeitung</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Prospecting</subfield><subfield code="x">Geophysical methods</subfield><subfield code="x">Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Neural networks (Computer science)</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Poulton, Mary M.</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/book/9780080439860</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-33-ESD</subfield><subfield code="a">ZDB-33-EBS</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">FAW_PDA_ESD</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">FLA_PDA_ESD</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-027746041</subfield></datafield></record></collection> |
| id | DE-604.BV042309049 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:17:59Z |
| institution | BVB |
| isbn | 9780080439860 0080439861 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027746041 |
| oclc_num | 162566971 |
| open_access_boolean | |
| owner | DE-1046 |
| owner_facet | DE-1046 |
| physical | 1 Online-Ressource (xiii, 335 p.) |
| psigel | ZDB-33-ESD ZDB-33-EBS FAW_PDA_ESD FLA_PDA_ESD |
| publishDate | 2001 |
| publishDateSearch | 2001 |
| publishDateSort | 2001 |
| publisher | Pergamon |
| record_format | marc |
| series2 | Handbook of geophysical exploration |
| spelling | Computational neural networks for geophysical data processing edited by Mary M. Poulton 1st ed New York Pergamon 2001 1 Online-Ressource (xiii, 335 p.) txt rdacontent c rdamedia cr rdacarrier Handbook of geophysical exploration v. 30 This book was primarily written for an audience that has heard about neural networks or has had some experience with the algorithms, but would like to gain a deeper understanding of the fundamental material. For those that already have a solid grasp of how to create a neural network application, this work can provide a wide range of examples of nuances in network design, data set design, testing strategy, and error analysis. Computational, rather than artificial, modifiers are used for neural networks in this book to make a distinction between networks that are implemented in hardware and those that are implemented in software. The term artificial neural network covers any implementation that is inorganic and is the most general term. Computational neural networks are only implemented in software but represent the vast majority of applications. While this book cannot provide a blue print for every conceivable geophysics application, it does outline a basic approach that has been used successfully Includes bibliographical references and indexes Neural networks (Computer science) fast Prospecting / Geophysical methods / Data processing fast Datenverarbeitung Prospecting Geophysical methods Data processing Neural networks (Computer science) Poulton, Mary M. Sonstige oth http://www.sciencedirect.com/science/book/9780080439860 Verlag Volltext |
| spellingShingle | Computational neural networks for geophysical data processing Neural networks (Computer science) fast Prospecting / Geophysical methods / Data processing fast Datenverarbeitung Prospecting Geophysical methods Data processing Neural networks (Computer science) |
| title | Computational neural networks for geophysical data processing |
| title_auth | Computational neural networks for geophysical data processing |
| title_exact_search | Computational neural networks for geophysical data processing |
| title_full | Computational neural networks for geophysical data processing edited by Mary M. Poulton |
| title_fullStr | Computational neural networks for geophysical data processing edited by Mary M. Poulton |
| title_full_unstemmed | Computational neural networks for geophysical data processing edited by Mary M. Poulton |
| title_short | Computational neural networks for geophysical data processing |
| title_sort | computational neural networks for geophysical data processing |
| topic | Neural networks (Computer science) fast Prospecting / Geophysical methods / Data processing fast Datenverarbeitung Prospecting Geophysical methods Data processing Neural networks (Computer science) |
| topic_facet | Neural networks (Computer science) Prospecting / Geophysical methods / Data processing Datenverarbeitung Prospecting Geophysical methods Data processing |
| url | http://www.sciencedirect.com/science/book/9780080439860 |
| work_keys_str_mv | AT poultonmarym computationalneuralnetworksforgeophysicaldataprocessing |