External Links

Cite Key

Statistics

  • References: 0
  • Cited by: 0
  • Reviews: 0
  • Bibliographies: 0

PDF

Researchr

Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.

Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.

Extension knowledge representation of evolutionary law of technological systems in TRIZ

Biaobiao Ge, Chunyan Yang, Long Tang. Extension knowledge representation of evolutionary law of technological systems in TRIZ. In Yong Shi 0001, Jianping Li 0001, Gang Kou, Daniel Berg, James M. Tien, editors, Proceedings of the 9th International Conference on Information Technology and Quantitative Management, ITQM 2022, Global Green Digital Economy: Challenges and Development, December 9-11, 2022, Beijing, China. Volume 214 of Procedia Computer Science, pages 461-468, Elsevier, 2022. [doi]

Authors

Biaobiao Ge

This author has not been identified. Look up 'Biaobiao Ge' in Google

Chunyan Yang

This author has not been identified. Look up 'Chunyan Yang' in Google

Long Tang

This author has not been identified. Look up 'Long Tang' in Google
runs on