|
EPrints@IIT Delhi >
Faculty Research Publicatons >
Electrical Engineering >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/2074/2038
|
| Title: | Cluster-weighted modeling as a basis for fuzzy modeling |
| Authors: | Hanmandlu, M
Madasu, V K
Vasikarla, S |
| Keywords: | cluster-weighted modeling
generalized fuzzy model |
| Issue Date: | 2003 |
| Citation: | Information Technology: Coding and Computing Computers and Communications Proceedings ITCC International Conference on, 627 - 634p. |
| Abstract: | Cluster-weighted modeling (CWM) is emerging as a versatile tool for modeling dynamical systems. It is a mixture density estimator around local models. To be specific, the input regions together with output regions are treated to be Gaussian serving as local models. These models are linked by a linear or non-linear function involving the mixture of densities of local models. The present work shows a connection between the CWM and generalized fuzzy model (GFM) thus paving the way for utilizing the concepts of probability theory in the fuzzy domain that has already emerged as a versatile tool for solving problems in uncertain dynamic systems. |
| URI: | http://eprint.iitd.ac.in/dspace/handle/2074/2038 |
| Appears in Collections: | Electrical Engineering
|
Files in This Item:
| File |
Description |
Size | Format |
|---|
| hanmandluclu2003.pdf | | 639Kb | Adobe PDF | View/Open |
|
Show full item record
All items in DSpace are protected by copyright, with all rights reserved.
|
