๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Neuro-fuzzy system modeling based on automatic fuzzy clustering

โœ Scribed by Yuangang Tang; Fuchun Sun; Zengqi Sun


Book ID
107504444
Publisher
South China University of Technology and Academy of Mathematics and Systems Science, CAS
Year
2005
Tongue
English
Weight
725 KB
Volume
3
Category
Article
ISSN
1672-6340

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Entropy-based fuzzy clustering and fuzzy
โœ J Yao; M Dash; S.T Tan; H Liu ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 657 KB

Fuzzy clustering is capable of finding vague boundaries that crisp clustering fails to obtain. But time complexity of fuzzy clustering is usually high, and the need to specify complicated parameters hinders its use. In this paper, an entropy-based fuzzy clustering method is proposed. It automaticall

Neuro-fuzzy Model-based Control
โœ D. Matko; K. Kavลกek-Biasizzo; J. Kocijan ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Springer Netherlands ๐ŸŒ English โš– 139 KB
Investigations on fuzzy thresholding bas
โœ C.V Jawahar; P.K Biswas; A.K Ray ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 715 KB

Thresholding, the problem of pixel classification is attempted here using fuzzy clustering algorithms. The segmented regions are fuzzy subsets, with soft partitions characterizing the region boundaries. The validity of the assumptions and thresholding schemes are investigated in the presence of dist