Artificial intelligence in manufacturing: concepts and methods
Artificial Intelligence in Manufacturing: Concepts and Methods explains the most successful emerging techniques for applying AI to engineering problems. Artificial intelligence is increasingly being applied to all engineering disciplines, producing more insights into how we understand the world and...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Academic Press
[2024]
|
| Schlagworte: | |
| Online-Zugang: | DE-706 Volltext |
| Zusammenfassung: | Artificial Intelligence in Manufacturing: Concepts and Methods explains the most successful emerging techniques for applying AI to engineering problems. Artificial intelligence is increasingly being applied to all engineering disciplines, producing more insights into how we understand the world and allowing us to create products in new ways. This book unlocks the advantages of this technology for manufacturing by drawing on work by leading researchers who have successfully developed methods that can apply to a range of engineering applications. The book addresses educational challenges needed for widespread implementation of AI and also provides detailed technical instructions for the implementation of AI methods. Drawing on research in computer science, physics and a range of engineering disciplines, this book tackles the interdisciplinary challenges of the subject to introduce new thinking to important manufacturing problems |
| Beschreibung: | 1. Data-driven Physics-based Digital Twins2. Hybrid Modeling Approach Integrating PLS Models with First-principles Knowledge3. Dynamical Systems-Guided Learning of PDEs from Data4. Learning First-principles Knowledge from Data5. Actual Learning through Machine Learning6. Iterative Cross Learning7. Learning an Algebraic Model from Data8. Data-driven Optimization Algorithms9. Interpretable Machine Learning10. Learning Science and Algorithms11. Reinforcement Learning12. Machine Learning: Trends, Perspectives, and Prospects13. Artificial Intelligence: Trends, Perspectives, and Prospects14. Artificial Intelligence Education for Chemical Engineers |
| Beschreibung: | 1 Online-Ressource (xv, 355 Seiten) Illustrationen |
| ISBN: | 9780323991346 |
| DOI: | 10.1016/C2021-0-01678-3 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV050067030 | ||
| 003 | DE-604 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 241204s2024 xx a||| o|||| 00||| eng d | ||
| 020 | |a 9780323991346 |9 978-0-323-99134-6 | ||
| 024 | 7 | |a 10.1016/C2021-0-01678-3 |2 doi | |
| 035 | |a (ZDB-33-EBS)9780323991346 | ||
| 035 | |a (DE-599)BVBBV050067030 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-706 | ||
| 084 | |a ZL 6200 |0 (DE-625)156973: |2 rvk | ||
| 245 | 1 | 0 | |a Artificial intelligence in manufacturing |b concepts and methods |c edited by Masoud Soroush, Richard D. Braatz |
| 264 | 1 | |a London |b Academic Press |c [2024] | |
| 300 | |a 1 Online-Ressource (xv, 355 Seiten) |b Illustrationen | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a 1. Data-driven Physics-based Digital Twins2. Hybrid Modeling Approach Integrating PLS Models with First-principles Knowledge3. Dynamical Systems-Guided Learning of PDEs from Data4. Learning First-principles Knowledge from Data5. Actual Learning through Machine Learning6. Iterative Cross Learning7. Learning an Algebraic Model from Data8. Data-driven Optimization Algorithms9. Interpretable Machine Learning10. Learning Science and Algorithms11. Reinforcement Learning12. Machine Learning: Trends, Perspectives, and Prospects13. Artificial Intelligence: Trends, Perspectives, and Prospects14. Artificial Intelligence Education for Chemical Engineers | ||
| 520 | 3 | |a Artificial Intelligence in Manufacturing: Concepts and Methods explains the most successful emerging techniques for applying AI to engineering problems. Artificial intelligence is increasingly being applied to all engineering disciplines, producing more insights into how we understand the world and allowing us to create products in new ways. This book unlocks the advantages of this technology for manufacturing by drawing on work by leading researchers who have successfully developed methods that can apply to a range of engineering applications. The book addresses educational challenges needed for widespread implementation of AI and also provides detailed technical instructions for the implementation of AI methods. Drawing on research in computer science, physics and a range of engineering disciplines, this book tackles the interdisciplinary challenges of the subject to introduce new thinking to important manufacturing problems | |
| 650 | 0 | 7 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Produktion |0 (DE-588)4047347-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Industrie |0 (DE-588)4026779-9 |2 gnd |9 rswk-swf |
| 653 | 0 | |a Artificial intelligence | |
| 653 | 0 | |a COMPUTERS / Artificial Intelligence | |
| 653 | 0 | |a Industrial chemistry & manufacturing technologies | |
| 653 | 0 | |a Industrielle Chemie und Fertigungstechnologien | |
| 653 | 0 | |a Künstliche Intelligenz | |
| 653 | 0 | |a SCIENCE / Chemistry / Industrial & Technical | |
| 689 | 0 | 0 | |a Industrie |0 (DE-588)4026779-9 |D s |
| 689 | 0 | 1 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |D s |
| 689 | 0 | 2 | |a Produktion |0 (DE-588)4047347-8 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Soroush, Masoud |0 (DE-588)1171858396 |4 edt | |
| 700 | 1 | |a Braatz, Richard D. |d 1966- |0 (DE-588)173391656 |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-0-323-99134-6 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/C2021-0-01678-3 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-33-EBS | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035404509 | |
| 966 | e | |u https://doi.org/10.1016/C2021-0-01678-3 |l DE-706 |p ZDB-33-EBS |q UBY_PDA_EBS_Kauf |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1820889671339606016 |
|---|---|
| adam_text | |
| any_adam_object | |
| author2 | Soroush, Masoud Braatz, Richard D. 1966- |
| author2_role | edt edt |
| author2_variant | m s ms r d b rd rdb |
| author_GND | (DE-588)1171858396 (DE-588)173391656 |
| author_facet | Soroush, Masoud Braatz, Richard D. 1966- |
| building | Verbundindex |
| bvnumber | BV050067030 |
| classification_rvk | ZL 6200 |
| collection | ZDB-33-EBS |
| ctrlnum | (ZDB-33-EBS)9780323991346 (DE-599)BVBBV050067030 |
| discipline | Maschinenbau / Maschinenwesen |
| doi_str_mv | 10.1016/C2021-0-01678-3 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV050067030</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">241204s2024 xx a||| o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780323991346</subfield><subfield code="9">978-0-323-99134-6</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/C2021-0-01678-3</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-33-EBS)9780323991346</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV050067030</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-706</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ZL 6200</subfield><subfield code="0">(DE-625)156973:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Artificial intelligence in manufacturing</subfield><subfield code="b">concepts and methods</subfield><subfield code="c">edited by Masoud Soroush, Richard D. Braatz</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">London</subfield><subfield code="b">Academic Press</subfield><subfield code="c">[2024]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xv, 355 Seiten)</subfield><subfield code="b">Illustrationen</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="500" ind1=" " ind2=" "><subfield code="a">1. Data-driven Physics-based Digital Twins2. Hybrid Modeling Approach Integrating PLS Models with First-principles Knowledge3. Dynamical Systems-Guided Learning of PDEs from Data4. Learning First-principles Knowledge from Data5. Actual Learning through Machine Learning6. Iterative Cross Learning7. Learning an Algebraic Model from Data8. Data-driven Optimization Algorithms9. Interpretable Machine Learning10. Learning Science and Algorithms11. Reinforcement Learning12. Machine Learning: Trends, Perspectives, and Prospects13. Artificial Intelligence: Trends, Perspectives, and Prospects14. Artificial Intelligence Education for Chemical Engineers</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Artificial Intelligence in Manufacturing: Concepts and Methods explains the most successful emerging techniques for applying AI to engineering problems. Artificial intelligence is increasingly being applied to all engineering disciplines, producing more insights into how we understand the world and allowing us to create products in new ways. This book unlocks the advantages of this technology for manufacturing by drawing on work by leading researchers who have successfully developed methods that can apply to a range of engineering applications. The book addresses educational challenges needed for widespread implementation of AI and also provides detailed technical instructions for the implementation of AI methods. Drawing on research in computer science, physics and a range of engineering disciplines, this book tackles the interdisciplinary challenges of the subject to introduce new thinking to important manufacturing problems</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Produktion</subfield><subfield code="0">(DE-588)4047347-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Industrie</subfield><subfield code="0">(DE-588)4026779-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">COMPUTERS / Artificial Intelligence</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Industrial chemistry & manufacturing technologies</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Industrielle Chemie und Fertigungstechnologien</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Künstliche Intelligenz</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">SCIENCE / Chemistry / Industrial & Technical</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Industrie</subfield><subfield code="0">(DE-588)4026779-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Produktion</subfield><subfield code="0">(DE-588)4047347-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Soroush, Masoud</subfield><subfield code="0">(DE-588)1171858396</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Braatz, Richard D.</subfield><subfield code="d">1966-</subfield><subfield code="0">(DE-588)173391656</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">978-0-323-99134-6</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/C2021-0-01678-3</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-33-EBS</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035404509</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1016/C2021-0-01678-3</subfield><subfield code="l">DE-706</subfield><subfield code="p">ZDB-33-EBS</subfield><subfield code="q">UBY_PDA_EBS_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV050067030 |
| illustrated | Illustrated |
| indexdate | 2025-01-10T19:01:52Z |
| institution | BVB |
| isbn | 9780323991346 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035404509 |
| open_access_boolean | |
| owner | DE-706 |
| owner_facet | DE-706 |
| physical | 1 Online-Ressource (xv, 355 Seiten) Illustrationen |
| psigel | ZDB-33-EBS ZDB-33-EBS UBY_PDA_EBS_Kauf |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Academic Press |
| record_format | marc |
| spelling | Artificial intelligence in manufacturing concepts and methods edited by Masoud Soroush, Richard D. Braatz London Academic Press [2024] 1 Online-Ressource (xv, 355 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier 1. Data-driven Physics-based Digital Twins2. Hybrid Modeling Approach Integrating PLS Models with First-principles Knowledge3. Dynamical Systems-Guided Learning of PDEs from Data4. Learning First-principles Knowledge from Data5. Actual Learning through Machine Learning6. Iterative Cross Learning7. Learning an Algebraic Model from Data8. Data-driven Optimization Algorithms9. Interpretable Machine Learning10. Learning Science and Algorithms11. Reinforcement Learning12. Machine Learning: Trends, Perspectives, and Prospects13. Artificial Intelligence: Trends, Perspectives, and Prospects14. Artificial Intelligence Education for Chemical Engineers Artificial Intelligence in Manufacturing: Concepts and Methods explains the most successful emerging techniques for applying AI to engineering problems. Artificial intelligence is increasingly being applied to all engineering disciplines, producing more insights into how we understand the world and allowing us to create products in new ways. This book unlocks the advantages of this technology for manufacturing by drawing on work by leading researchers who have successfully developed methods that can apply to a range of engineering applications. The book addresses educational challenges needed for widespread implementation of AI and also provides detailed technical instructions for the implementation of AI methods. Drawing on research in computer science, physics and a range of engineering disciplines, this book tackles the interdisciplinary challenges of the subject to introduce new thinking to important manufacturing problems Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Produktion (DE-588)4047347-8 gnd rswk-swf Industrie (DE-588)4026779-9 gnd rswk-swf Artificial intelligence COMPUTERS / Artificial Intelligence Industrial chemistry & manufacturing technologies Industrielle Chemie und Fertigungstechnologien Künstliche Intelligenz SCIENCE / Chemistry / Industrial & Technical Industrie (DE-588)4026779-9 s Künstliche Intelligenz (DE-588)4033447-8 s Produktion (DE-588)4047347-8 s DE-604 Soroush, Masoud (DE-588)1171858396 edt Braatz, Richard D. 1966- (DE-588)173391656 edt Erscheint auch als Druck-Ausgabe 978-0-323-99134-6 https://doi.org/10.1016/C2021-0-01678-3 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Artificial intelligence in manufacturing concepts and methods Künstliche Intelligenz (DE-588)4033447-8 gnd Produktion (DE-588)4047347-8 gnd Industrie (DE-588)4026779-9 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4047347-8 (DE-588)4026779-9 |
| title | Artificial intelligence in manufacturing concepts and methods |
| title_auth | Artificial intelligence in manufacturing concepts and methods |
| title_exact_search | Artificial intelligence in manufacturing concepts and methods |
| title_full | Artificial intelligence in manufacturing concepts and methods edited by Masoud Soroush, Richard D. Braatz |
| title_fullStr | Artificial intelligence in manufacturing concepts and methods edited by Masoud Soroush, Richard D. Braatz |
| title_full_unstemmed | Artificial intelligence in manufacturing concepts and methods edited by Masoud Soroush, Richard D. Braatz |
| title_short | Artificial intelligence in manufacturing |
| title_sort | artificial intelligence in manufacturing concepts and methods |
| title_sub | concepts and methods |
| topic | Künstliche Intelligenz (DE-588)4033447-8 gnd Produktion (DE-588)4047347-8 gnd Industrie (DE-588)4026779-9 gnd |
| topic_facet | Künstliche Intelligenz Produktion Industrie |
| url | https://doi.org/10.1016/C2021-0-01678-3 |
| work_keys_str_mv | AT soroushmasoud artificialintelligenceinmanufacturingconceptsandmethods AT braatzrichardd artificialintelligenceinmanufacturingconceptsandmethods |