Teil der Reihe: Engineering (R0)
Knowledge-Based Engineering and Data Analytics in R: Methods and Applications
Inhaltsangabe
This book presents a guide to integrating Knowledge-Based Engineering (KBE) with R for intelligent, data-driven engineering solutions. The book covers knowledge representation, rule-based systems, ontologies, predictive analytics, machine learning, optimization, simulation, and data visualization through practical R examples. Combining theoretical concepts with real-world case studies, programming exercises, and hands-on applications, it demonstrates how engineering knowledge can be automated and optimized to improve design, decision-making, and innovation. Intended for undergraduate and postgraduate students, researchers, educators, and practicing engineers, this book is a valuable resource for applying statistical computing and intelligent engineering techniques to solve complex multidisciplinary engineering challenges.
Produktdetails
- Erscheinungsdatum: 03.10.2026
- Autor/Autorin: Shekh Abdullah-Al-Musa Ahmed
- Reihe: Engineering (R0)
- Format: E-Book
- Dateiformat: PDF
- Kopierschutz: Wasserzeichen
- Dateigröße: 13.5 MB
- Verlag: SPRINGER
- Sprache: Englisch
- Umfang: 283 Seiten
- ISBN: 9783032392541
- Lieferung: Sofort per Download
- Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
- Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
Examines frameworks for integrating KBE architectures with R-based analytical tools Discusses visualization strategies and decision-support systems for engineers to interpret complex analytical results Presents a comprehensive exploration of integrating Knowledge-Based Engineering (KBE) with the R programming environment
Herstellerinformationen
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