Handbook of mathematical and digital engineering foundations for artificial intelligence: a systems methodology
Artificial intelligence and digital engineering have become prevalent in business, industry, government, and academia. However, the workforce still has a lot to learn. This handbook presents the preparatory and operational foundations for the efficacy, applicability, risk, and how to take advantage...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press, Taylor & Francis Group
2023
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| Schriftenreihe: | Systems innovation book series
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| Schlagworte: | |
| Online-Zugang: | DE-573 Volltext |
| Zusammenfassung: | Artificial intelligence and digital engineering have become prevalent in business, industry, government, and academia. However, the workforce still has a lot to learn. This handbook presents the preparatory and operational foundations for the efficacy, applicability, risk, and how to take advantage of these tools and techniques |
| Beschreibung: | 1. Artificial Intelligence within Industrial and Systems Engineering Framework. 2. Mathematics of Cantor Set for AI Searches. 3. Set-theoretic Systems for AI Applications. 4. AI Mathematical Modeling for Product Design. 5. Mathematical Formulation of the Pursuit Problem for AI Gaming. 6. AI Framework for the Financial Sector. 7. AI Neuro-Fuzzy Model for Healthcare Prediction. 8. Stochasticity in AI Mathematical Modeling. 9. Mathematical Utility Modeling for AI Application. 10. Artificial Intelligence and Human Factors Integration in Additive Manufacturing. 11. AI Systems Optimization Techniques. 12. Mathematical Modeling and Control of Resource Constraints. Appendix A: Mathematical Expressions and Collections (Series, Patterns, and Formulae). Appendix B: Cantor Set Sectioning |
| Beschreibung: | 1 Online-Ressource (xvii, 380 Seiten) Illustrationen |
| ISBN: | 9781003247395 |
| DOI: | 10.1201/9781003247395 |
Internformat
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| 653 | 0 | |a Product design | |
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Datensatz im Suchindex
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| author | Badiru, Adedeji Bodunde 1952- Asaolu, Olumuyiwa Sunday |
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| author_sort | Badiru, Adedeji Bodunde 1952- |
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| classification_rvk | ST 300 |
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| discipline | Informatik |
| doi_str_mv | 10.1201/9781003247395 |
| format | Electronic eBook |
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| id | DE-604.BV049902456 |
| illustrated | Illustrated |
| indexdate | 2024-12-06T15:06:57Z |
| institution | BVB |
| isbn | 9781003247395 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035241391 |
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| physical | 1 Online-Ressource (xvii, 380 Seiten) Illustrationen |
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| publishDate | 2023 |
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| publisher | CRC Press, Taylor & Francis Group |
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| series2 | Systems innovation book series |
| spelling | Badiru, Adedeji Bodunde 1952- Verfasser (DE-588)124156665 aut Handbook of mathematical and digital engineering foundations for artificial intelligence a systems methodology Adedeji B. Badiru, Olumuyiwa S. Asaolu Boca Raton ; London ; New York CRC Press, Taylor & Francis Group 2023 1 Online-Ressource (xvii, 380 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Systems innovation book series 1. Artificial Intelligence within Industrial and Systems Engineering Framework. 2. Mathematics of Cantor Set for AI Searches. 3. Set-theoretic Systems for AI Applications. 4. AI Mathematical Modeling for Product Design. 5. Mathematical Formulation of the Pursuit Problem for AI Gaming. 6. AI Framework for the Financial Sector. 7. AI Neuro-Fuzzy Model for Healthcare Prediction. 8. Stochasticity in AI Mathematical Modeling. 9. Mathematical Utility Modeling for AI Application. 10. Artificial Intelligence and Human Factors Integration in Additive Manufacturing. 11. AI Systems Optimization Techniques. 12. Mathematical Modeling and Control of Resource Constraints. Appendix A: Mathematical Expressions and Collections (Series, Patterns, and Formulae). Appendix B: Cantor Set Sectioning Artificial intelligence and digital engineering have become prevalent in business, industry, government, and academia. However, the workforce still has a lot to learn. This handbook presents the preparatory and operational foundations for the efficacy, applicability, risk, and how to take advantage of these tools and techniques Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Artificial intelligence Automatic control engineering COMPUTERS / Artificial Intelligence COMPUTERS / Programming / Systems Analysis & Design DES011000 Electrical engineering Engineering: general Environmental science, engineering & technology Ergonomics Ergonomie Ingenieurswesen, Maschinenbau allgemein Künstliche Intelligenz Mathematical modelling Other manufacturing technologies Product design Produktdesign Regelungstechnik Systemanalyse und -design Systems analysis & design TECHNOLOGY & ENGINEERING / Automation Maschinelles Lernen (DE-588)4193754-5 s Mathematisches Modell (DE-588)4114528-8 s DE-604 Asaolu, Olumuyiwa Sunday Verfasser (DE-588)1219584886 aut Erscheint auch als Druck-Ausgabe, Paperback 978-1-032-16182-2 Erscheint auch als Druck-Ausgabe, Hardcover 978-1-032-16181-5 https://doi.org/10.1201/9781003247395 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Badiru, Adedeji Bodunde 1952- Asaolu, Olumuyiwa Sunday Handbook of mathematical and digital engineering foundations for artificial intelligence a systems methodology Mathematisches Modell (DE-588)4114528-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4114528-8 (DE-588)4193754-5 |
| title | Handbook of mathematical and digital engineering foundations for artificial intelligence a systems methodology |
| title_auth | Handbook of mathematical and digital engineering foundations for artificial intelligence a systems methodology |
| title_exact_search | Handbook of mathematical and digital engineering foundations for artificial intelligence a systems methodology |
| title_full | Handbook of mathematical and digital engineering foundations for artificial intelligence a systems methodology Adedeji B. Badiru, Olumuyiwa S. Asaolu |
| title_fullStr | Handbook of mathematical and digital engineering foundations for artificial intelligence a systems methodology Adedeji B. Badiru, Olumuyiwa S. Asaolu |
| title_full_unstemmed | Handbook of mathematical and digital engineering foundations for artificial intelligence a systems methodology Adedeji B. Badiru, Olumuyiwa S. Asaolu |
| title_short | Handbook of mathematical and digital engineering foundations for artificial intelligence |
| title_sort | handbook of mathematical and digital engineering foundations for artificial intelligence a systems methodology |
| title_sub | a systems methodology |
| topic | Mathematisches Modell (DE-588)4114528-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Mathematisches Modell Maschinelles Lernen |
| url | https://doi.org/10.1201/9781003247395 |
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