Pages that link to "Item:Q2824649"

The following pages link to Fuzzy C-means clustering algorithm based regularization and its application in the problem of T-S fuzzy system identification (Q2824649):

Displaying 8 items.

• Robust solution to fuzzy identification problem with uncertain data by regularization. Fuzzy approximation to physical fitness with real world medical data: an application (Q702298) (← links)
• The bi-objective fuzzy c-means cluster analysis for TSK fuzzy system identification (Q868529) (← links)
• A clustering algorithm based TS fuzzy model for tracking dynamical system data (Q1661238) (← 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)
• Dynamic T-S fuzzy systems identification based on sparse regularization (Q2789921) (← links)
• A novel fuzzy c-regression model algorithm using a new error measure and particle swarm optimization (Q2934502) (← links)
• (Q4926711) (← links)