Please use this identifier to cite or link to this item:
|Title:||On the learning of min-max fuzzy systems||Authors:||Tan, Shaohua
|Issue Date:||1997||Citation:||Tan, Shaohua,Zhang, Li,Vandewalle, Joos (1997). On the learning of min-max fuzzy systems. IEEE International Conference on Fuzzy Systems 3 : 1581-1584. ScholarBank@NUS Repository.||Abstract:||This paper develops a methodology for learning fuzzy systems that contain min-max operations. It is shown that with the defuzzification properly defined, a min-max fuzzy system can have a transparent structure that is both universally approximating and easy for a learning scheme to be developed. A specific learning scheme based on multi-scale residue extraction is then presented.||Source Title:||IEEE International Conference on Fuzzy Systems||URI:||http://scholarbank.nus.edu.sg/handle/10635/81632|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Aug 17, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.