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Oct 26, 2011 · GSHPC is used to partition the fuzzy space and identify premise parameters of the T-S fuzzy model, and orthogonal least squares is exploited to ...
The GSA based hyper-plane clustering algorithm is applied to partition the fuzzy space of the given input–output data, and then the premise structure and ...
In order to improve the performance of the fuzzy clustering algorithm in fuzzy space partition in the identification of the Takagi–Sugeno (T–S) fuzzy model, ...
In order to improve the performance of the fuzzy clustering algorithm in fuzzy space partition in the identification of the Takagi–Sugeno (T–S) fuzzy model, ...
T–S Fuzzy Model Identification With a Gravitational Search-Based Hyperplane Clustering Algorithm - Free download as PDF File (.pdf), Text File (.txt) or ...
T–S Fuzzy Model Identification With a Gravitational Search-Based Hyperplane Clustering Algorithm - Free download as PDF File (.pdf), Text File (.txt) or ...
Bibliographic details on T-S Fuzzy Model Identification With a Gravitational Search-Based Hyperplane Clustering Algorithm.
In order to improve the performance of the fuzzy clustering algorithm in fuzzy space partition in the identification of the Takagi-Sugeno (T-S) fuzzy model, ...
A clustering algorithm composed of fuzzy c-linear functions clustering and like fuzzy c-means clustering is developed for minimizing the four criteria.
This paper proposes a novel approach for identification of Takagi–Sugeno (T–S) fuzzy model, which is based on a new fuzzy c-regression model (FCRM) clustering ...