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Adaptive model selection using orthogonal least squares methods

โœ Scribed by Stark, J.


Book ID
120148319
Publisher
The Royal Society
Year
1997
Tongue
English
Weight
702 KB
Volume
453
Category
Article
ISSN
0962-8444

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An orthogonal least-squares method for r
โœ Paris A. Mastorocostas; John B. Theocharis ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 411 KB

This paper presents an orthogonal least-squares (OLS)-based modeling method, named dynamic OLS (D-OLS), for generating recurrent fuzzy models. A dynamic-neuron-based fuzzy neural network is proposed, comprising generalized Takagi-Sugeno-Kang (TSK) fuzzy rules, whose consequent parts consist of dynam