Knowledge-Based Engineering and Data Analytics in R: Methods and Applications
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Beschreibung
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.
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.
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
Autor*in
Shekh Abdullah-Al-Musa Ahmed
Themen in »Knowledge-Based Engineering and Data Analytics in R: Methods and Applications«
R Programming for Engineering Data-Driven Engineering Systems Machine Learning in Engineering Engineering Optimization Techniques Predictive Modeling and Simulation Statistical Computing with R Smart Manufacturing and Industry 4.0 Engineering Decision Support Systems Big Data and Cloud-Based Engineering Analytics Artificial Intelligence in Engineering Design. Knowledge-Based Engineering (KBE)