Nov 7, 2011 · This paper introduces iterative linear SVR to tune antecedent and consequent parameters. This paper demonstrates the capabilities of FS-RGLSVR ...

Apr 4, 2012 · This paper introduces iterative linear SVR to tune antecedent and consequent parameters. This paper demonstrates the capabilities of FS-RGLSVR ...

This paper introduces iterative linear SVR to tune antecedent and consequent parameters. This paper demonstrates the capabilities of FS-RGLSVR by two simulated ...

This paper introduces iterative linear SVR to tune antecedent and consequent parameters in the FS-RGLSVR using linear support vector regression (SVR) to ...

Oct 22, 2024 · This paper introduces iterative linear SVR to tune antecedent and consequent parameters. This paper demonstrates the capabilities of FS-RGLSVR ...

In this paper, we design a fuzzy rule-based support vector regression system. The proposed system utilizes the advantages of fuzzy model and support vector ...

Sep 16, 2007 · This paper proposes a new approach for automating the structure and parameter learning of fuzzy systems by clustering-aided simplex particle ...

A hybrid method that combines FS and SVM is proposed for the prediction of binding affinity of peptides in mouse class I MHC alleles and the results suggest ...

May 24, 2023 · Fuzzy rule-based systems (FRBSs) is a rule-based system which uses linguistic fuzzy variables as antecedents and consequent to represent ...

Hsieh, “A fuzzy system constructed by rule generation and iterative linear SVR for antecedent and consequent parameter optimization,” IEEE Trans. Fuzzy Syst., ...