arXiv:2103.12466
Applying graph matching techniques to enhance reuse of plant design information
원문 초록
This article investigates how graph matching can be applied to process plant design data in order to support the reuse of previous designs. A literature review of existing graph matching algorithms is performed, and a group of algorithms is chosen for further testing. A use case from early phase plant design is presented. A methodology for addressing the use case is proposed, including graph simplification algorithms and node similarity measures, so that existing graph matching algorithms can be applied in the process plant domain. The proposed methodology is evaluated empirically on an industrial case consisting of design data from several pulp and paper plants.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Optimizing Incomplete, Large-Scale and Sparse Multi-Graph Matching in Bioimaging
Probing Neural Topology of Large Language Models
PackHero: A Scalable Graph-based Approach for Efficient Packer Identification
Learning without Isolation: Pathway Protection for Continual Learning
Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward
Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation
토론
이 논문과 연결된 포럼 글이 아직 없습니다.