2023 journal article
A Deep Transfer Learning Design Rule Checker With Synthetic Training
IEEE Design & Test, 40(1), 77–84.
topics (OpenAlex): Machine Learning and Data Classification; Hydraulic and Pneumatic Systems; Advanced Multi-Objective Optimization Algorithms
Source: ORCID
Added: January 24, 2023
Deep transfer learning is applied to the task of design rule checking (DRC). A parameterized synthetic data set generator is used to train the model. —Ulf Schlichtmann, Technical University of Munich