document: Fuzzy systems with overlapping Gaussian concepts : Approximation properties in Sobolev norms In this paper the approximating capabilities of fuzzy systems with overlapping Gaussian concepts are considered . The target function is assumed to be sampled either on a regular gird or according to a uniform probability density . By exploiting a connection with Radial Basis Functions approximators , a new method for the computation of the system coefficients is provided , showing that it guarantees uniform approximation of the derivatives of the target function
doc_bio_tags: B I O B I I O O O O O O O O O O O O O B I O B I I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I I O O O O O O O O O O O O O O O O O O O O O O O O O O O O
extractive_keyphrases: fuzzy systems overlapping gaussian concepts radial basis functions
abstractive_keyphrases: learning fuzzy system models reproducing kernel hilbert spaces