Artificial Neural Networks for Intelligent Manufacturing:
The quest for building systems that can function automatically has attracted a lot of attention over the centuries and created continuous research activities. As users of these systems we have never been satisfied, and demand more from the artifacts that are designed and manufactured. The current tr...
Gespeichert in:
Weitere Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Dordrecht
Springer Netherlands
1994
|
Schriftenreihe: | Intelligent Manufacturing Series
|
Schlagworte: | |
Online-Zugang: | BTU01 Volltext |
Zusammenfassung: | The quest for building systems that can function automatically has attracted a lot of attention over the centuries and created continuous research activities. As users of these systems we have never been satisfied, and demand more from the artifacts that are designed and manufactured. The current trend is to build autonomous systems that can adapt to changes in their environment. While there is a lot to be done before we reach this point, it is not possible to separate manufacturing systems from this trend. The desire to achieve fully automated manufacturing systems is here to stay. Manufacturing systems of the twenty-first century will demand more flexibility in product design, process planning, scheduling and process control. This may well be achieved through integrated software and hardware archi tectures that generate current decisions based on information collected from manufacturing systems environment, and execute these decisions by converting them into signals transferred through communication network. Manufacturing technology has not yet reached this state. However, the urge for achieving this goal is transferred into the term 'Intelligent Systems' that we started to use more in late 1980s. Knowledge-based systems, our first efforts in this endeavor, were not sufficient to generate the 'Intelligence' required - our quest still continues. Artificial neural network technology is becoming an integral part of intelligent manufacturing systems and will have a profound impact on the design of autonomous engineering systems over the next few years |
Beschreibung: | 1 Online-Ressource (XVI, 469 p) |
ISBN: | 9789401107136 |
DOI: | 10.1007/978-94-011-0713-6 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV045187861 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | cr|uuu---uuuuu | ||
008 | 180912s1994 |||| o||u| ||||||eng d | ||
020 | |a 9789401107136 |9 978-94-011-0713-6 | ||
024 | 7 | |a 10.1007/978-94-011-0713-6 |2 doi | |
035 | |a (ZDB-2-ENG)978-94-011-0713-6 | ||
035 | |a (OCoLC)1184425303 | ||
035 | |a (DE-599)BVBBV045187861 | ||
040 | |a DE-604 |b ger |e aacr | ||
041 | 0 | |a eng | |
049 | |a DE-634 | ||
082 | 0 | |a 670 |2 23 | |
245 | 1 | 0 | |a Artificial Neural Networks for Intelligent Manufacturing |c edited by Cihan H. Dagli |
264 | 1 | |a Dordrecht |b Springer Netherlands |c 1994 | |
300 | |a 1 Online-Ressource (XVI, 469 p) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a Intelligent Manufacturing Series | |
520 | |a The quest for building systems that can function automatically has attracted a lot of attention over the centuries and created continuous research activities. As users of these systems we have never been satisfied, and demand more from the artifacts that are designed and manufactured. The current trend is to build autonomous systems that can adapt to changes in their environment. While there is a lot to be done before we reach this point, it is not possible to separate manufacturing systems from this trend. The desire to achieve fully automated manufacturing systems is here to stay. Manufacturing systems of the twenty-first century will demand more flexibility in product design, process planning, scheduling and process control. This may well be achieved through integrated software and hardware archi tectures that generate current decisions based on information collected from manufacturing systems environment, and execute these decisions by converting them into signals transferred through communication network. Manufacturing technology has not yet reached this state. However, the urge for achieving this goal is transferred into the term 'Intelligent Systems' that we started to use more in late 1980s. Knowledge-based systems, our first efforts in this endeavor, were not sufficient to generate the 'Intelligence' required - our quest still continues. Artificial neural network technology is becoming an integral part of intelligent manufacturing systems and will have a profound impact on the design of autonomous engineering systems over the next few years | ||
650 | 4 | |a Engineering | |
650 | 4 | |a Manufacturing, Machines, Tools | |
650 | 4 | |a Artificial Intelligence (incl. Robotics) | |
650 | 4 | |a Engineering | |
650 | 4 | |a Artificial intelligence | |
650 | 4 | |a Manufacturing industries | |
650 | 4 | |a Machines | |
650 | 4 | |a Tools | |
650 | 0 | 7 | |a Neuronales Netz |0 (DE-588)4226127-2 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Fertigungstechnik |0 (DE-588)4329079-6 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Neuronales Netz |0 (DE-588)4226127-2 |D s |
689 | 0 | 1 | |a Fertigungstechnik |0 (DE-588)4329079-6 |D s |
689 | 0 | |8 1\p |5 DE-604 | |
700 | 1 | |a Dagli, Cihan H. |4 edt | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9789401043076 |
856 | 4 | 0 | |u https://doi.org/10.1007/978-94-011-0713-6 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
912 | |a ZDB-2-ENG | ||
940 | 1 | |q ZDB-2-ENG_Archiv | |
999 | |a oai:aleph.bib-bvb.de:BVB01-030577038 | ||
883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
966 | e | |u https://doi.org/10.1007/978-94-011-0713-6 |l BTU01 |p ZDB-2-ENG |q ZDB-2-ENG_Archiv |x Verlag |3 Volltext |
Datensatz im Suchindex
_version_ | 1804178880453410816 |
---|---|
any_adam_object | |
author2 | Dagli, Cihan H. |
author2_role | edt |
author2_variant | c h d ch chd |
author_facet | Dagli, Cihan H. |
building | Verbundindex |
bvnumber | BV045187861 |
collection | ZDB-2-ENG |
ctrlnum | (ZDB-2-ENG)978-94-011-0713-6 (OCoLC)1184425303 (DE-599)BVBBV045187861 |
dewey-full | 670 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 670 - Manufacturing |
dewey-raw | 670 |
dewey-search | 670 |
dewey-sort | 3670 |
dewey-tens | 670 - Manufacturing |
discipline | Werkstoffwissenschaften / Fertigungstechnik |
doi_str_mv | 10.1007/978-94-011-0713-6 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03507nmm a2200541zc 4500</leader><controlfield tag="001">BV045187861</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">180912s1994 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9789401107136</subfield><subfield code="9">978-94-011-0713-6</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-94-011-0713-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-ENG)978-94-011-0713-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1184425303</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045187861</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-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">670</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Artificial Neural Networks for Intelligent Manufacturing</subfield><subfield code="c">edited by Cihan H. Dagli</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Dordrecht</subfield><subfield code="b">Springer Netherlands</subfield><subfield code="c">1994</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XVI, 469 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">Intelligent Manufacturing Series</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The quest for building systems that can function automatically has attracted a lot of attention over the centuries and created continuous research activities. As users of these systems we have never been satisfied, and demand more from the artifacts that are designed and manufactured. The current trend is to build autonomous systems that can adapt to changes in their environment. While there is a lot to be done before we reach this point, it is not possible to separate manufacturing systems from this trend. The desire to achieve fully automated manufacturing systems is here to stay. Manufacturing systems of the twenty-first century will demand more flexibility in product design, process planning, scheduling and process control. This may well be achieved through integrated software and hardware archi tectures that generate current decisions based on information collected from manufacturing systems environment, and execute these decisions by converting them into signals transferred through communication network. Manufacturing technology has not yet reached this state. However, the urge for achieving this goal is transferred into the term 'Intelligent Systems' that we started to use more in late 1980s. Knowledge-based systems, our first efforts in this endeavor, were not sufficient to generate the 'Intelligence' required - our quest still continues. Artificial neural network technology is becoming an integral part of intelligent manufacturing systems and will have a profound impact on the design of autonomous engineering systems over the next few years</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Manufacturing, Machines, Tools</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence (incl. Robotics)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Manufacturing industries</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machines</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Tools</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Neuronales Netz</subfield><subfield code="0">(DE-588)4226127-2</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Fertigungstechnik</subfield><subfield code="0">(DE-588)4329079-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Neuronales Netz</subfield><subfield code="0">(DE-588)4226127-2</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Fertigungstechnik</subfield><subfield code="0">(DE-588)4329079-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dagli, Cihan H.</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9789401043076</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-94-011-0713-6</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-ENG</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-ENG_Archiv</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030577038</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-94-011-0713-6</subfield><subfield code="l">BTU01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="q">ZDB-2-ENG_Archiv</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV045187861 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:11:00Z |
institution | BVB |
isbn | 9789401107136 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030577038 |
oclc_num | 1184425303 |
open_access_boolean | |
owner | DE-634 |
owner_facet | DE-634 |
physical | 1 Online-Ressource (XVI, 469 p) |
psigel | ZDB-2-ENG ZDB-2-ENG_Archiv ZDB-2-ENG ZDB-2-ENG_Archiv |
publishDate | 1994 |
publishDateSearch | 1994 |
publishDateSort | 1994 |
publisher | Springer Netherlands |
record_format | marc |
series2 | Intelligent Manufacturing Series |
spelling | Artificial Neural Networks for Intelligent Manufacturing edited by Cihan H. Dagli Dordrecht Springer Netherlands 1994 1 Online-Ressource (XVI, 469 p) txt rdacontent c rdamedia cr rdacarrier Intelligent Manufacturing Series The quest for building systems that can function automatically has attracted a lot of attention over the centuries and created continuous research activities. As users of these systems we have never been satisfied, and demand more from the artifacts that are designed and manufactured. The current trend is to build autonomous systems that can adapt to changes in their environment. While there is a lot to be done before we reach this point, it is not possible to separate manufacturing systems from this trend. The desire to achieve fully automated manufacturing systems is here to stay. Manufacturing systems of the twenty-first century will demand more flexibility in product design, process planning, scheduling and process control. This may well be achieved through integrated software and hardware archi tectures that generate current decisions based on information collected from manufacturing systems environment, and execute these decisions by converting them into signals transferred through communication network. Manufacturing technology has not yet reached this state. However, the urge for achieving this goal is transferred into the term 'Intelligent Systems' that we started to use more in late 1980s. Knowledge-based systems, our first efforts in this endeavor, were not sufficient to generate the 'Intelligence' required - our quest still continues. Artificial neural network technology is becoming an integral part of intelligent manufacturing systems and will have a profound impact on the design of autonomous engineering systems over the next few years Engineering Manufacturing, Machines, Tools Artificial Intelligence (incl. Robotics) Artificial intelligence Manufacturing industries Machines Tools Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Fertigungstechnik (DE-588)4329079-6 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 s Fertigungstechnik (DE-588)4329079-6 s 1\p DE-604 Dagli, Cihan H. edt Erscheint auch als Druck-Ausgabe 9789401043076 https://doi.org/10.1007/978-94-011-0713-6 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Artificial Neural Networks for Intelligent Manufacturing Engineering Manufacturing, Machines, Tools Artificial Intelligence (incl. Robotics) Artificial intelligence Manufacturing industries Machines Tools Neuronales Netz (DE-588)4226127-2 gnd Fertigungstechnik (DE-588)4329079-6 gnd |
subject_GND | (DE-588)4226127-2 (DE-588)4329079-6 |
title | Artificial Neural Networks for Intelligent Manufacturing |
title_auth | Artificial Neural Networks for Intelligent Manufacturing |
title_exact_search | Artificial Neural Networks for Intelligent Manufacturing |
title_full | Artificial Neural Networks for Intelligent Manufacturing edited by Cihan H. Dagli |
title_fullStr | Artificial Neural Networks for Intelligent Manufacturing edited by Cihan H. Dagli |
title_full_unstemmed | Artificial Neural Networks for Intelligent Manufacturing edited by Cihan H. Dagli |
title_short | Artificial Neural Networks for Intelligent Manufacturing |
title_sort | artificial neural networks for intelligent manufacturing |
topic | Engineering Manufacturing, Machines, Tools Artificial Intelligence (incl. Robotics) Artificial intelligence Manufacturing industries Machines Tools Neuronales Netz (DE-588)4226127-2 gnd Fertigungstechnik (DE-588)4329079-6 gnd |
topic_facet | Engineering Manufacturing, Machines, Tools Artificial Intelligence (incl. Robotics) Artificial intelligence Manufacturing industries Machines Tools Neuronales Netz Fertigungstechnik |
url | https://doi.org/10.1007/978-94-011-0713-6 |
work_keys_str_mv | AT daglicihanh artificialneuralnetworksforintelligentmanufacturing |