Advanced search
Publication Cover
International Journal of Systems Science Volume 27, 1996 - Issue 4
Submit an article Journal homepage
12
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

A binary relation inference network Part 1. General concepts

K. P. LAM Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, NT, Hong Kong
&
C. J. SU Department of Electrical Engineering, The University of British Columbia, Vancouver, B.C., V6T 1Z4, Canada
Pages 387-398 | Received 10 May 1995, Accepted 25 Aug 1995, Published online: 16 May 2007

Citations (2)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (1)

K. P. LAM. (1996) A binary relation inference network Part 2. State-space techniques. International Journal of Systems Science 27:4, pages 399-404.
Read now

Articles from other publishers (1)

H.S. Ng & K.P. Lam. (2003) Analog and digital fpga implementation of brin for optimization problems. IEEE Transactions on Neural Networks 14:5, pages 1413-1425.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.