Design Basis: Underlying Modeling Logic
Yong Li,
Xunchen Liu,
Shanling Han and
Jian‘gang Gao
Additional contact information
Yong Li: Shandong University of Science and Technology, College of Mechanical and Electronic Engineering
Xunchen Liu: Shandong University of Science and Technology, College of Mechanical and Electronic Engineering
Shanling Han: Shandong University of Science and Technology, College of Mechanical and Electronic Engineering
Jian‘gang Gao: Ocean University of China, Faculty of Information Science and Engineering
Chapter Chapter 2 in Intelligent Manufacturing Engineering, 2026, pp 21-242 from Springer
Abstract:
Abstract The theoretical basis of IME is applied mathematics, embodied perception, mechanics, and digital image processing. This chapter covers the basic concepts, principles, theorems, and laws related to intelligent design in “relational mathematics: Graph theory → Complex networks → Operations Research” and perception. It further explains how to extract complex network problems from manufacturing systems and transform them into mathematical models (e.g., scenario-based matrices), thereby grasping the underlying modeling logic of IME. This chapter uses accessible language to describe mathematics in an IME system. By comparing IME systems to humans to explain the functions of various theories, we hope to make boring theories interesting.
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-95-3109-7_2
Ordering information: This item can be ordered from
http://www.springer.com/9789819531097
DOI: 10.1007/978-981-95-3109-7_2
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().