Abstract
A recursive algorithm is described for computing the representation of functions with respect to a nonorthogonal and possibly overcomplete dictionary of elementary building blocks. This algorithm, which follows the Orthogonal Matching Pursuit algorithm, is used for the identification of fuzzy systems where the membership functions are the basic building blocks. The algorithm is demonstrated on the identification of the Glycolytic chaotic time series.
Original language | English |
---|---|
Pages | 2059-2064 |
Number of pages | 6 |
State | Published - 1 Dec 1996 |
Externally published | Yes |
Event | Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3) - New Orleans, LA, USA Duration: 8 Sep 1996 → 11 Sep 1996 |
Conference
Conference | Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3) |
---|---|
City | New Orleans, LA, USA |
Period | 8/09/96 → 11/09/96 |
ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Artificial Intelligence
- Applied Mathematics