Pages that link to "Item:Q1794944"
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The following pages link to A novel identification method for Takagi-Sugeno fuzzy model (Q1794944):
Displaying 12 items.
- A hierarchical fuzzy-clustering approach to fuzzy modeling (Q1770727) (← links)
- A novel identification method for generalized T-S fuzzy systems (Q1955325) (← links)
- Robust kernel clustering algorithm for nonlinear system identification (Q1992500) (← links)
- A novel T-S fuzzy systems identification with block structured sparse representation (Q2017275) (← links)
- Identification and simplification of T-S fuzzy neural networks based on incremental structure learning and similarity analysis (Q2219351) (← links)
- A novel hybrid T-S model identification algorithm (Q2916198) (← links)
- A fuzzy C‐regression model algorithm using a new PSO algorithm (Q4644365) (← links)
- Robust fuzzy Gustafson–Kessel clustering for nonlinear system identification (Q4809251) (← links)
- A simple method for identification of singleton fuzzy models (Q5426615) (← links)
- A new evolving compact optimised Takagi–Sugeno fuzzy model and its application to nonlinear system identification (Q5497368) (← links)
- Fuzzy neuron modeling of incomplete data for missing value imputation (Q6197191) (← links)
- An online low-dimension fuzzy modeling method for time-varying processes (Q6500408) (← links)