title: The best approximation to C(2) functions and its error bounds using regular-center Gaussian networks.
abstract: Gaussian neural networks are considered to approximate any C(2) function with support on the unit hypercube I(m)=[0, 1](m) in the sense of best approximation. An upper bound (O(N(-2))) of the approximation error is obtained in the present paper for a Gaussian network having N(m) hidden neurons with centers defined on a regular mesh in I(m).
authors.affiliation: Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ.
authors.forename: B
authors.initials: B
authors.lastname: Liu
authors.forename: J
authors.initials: J
authors.lastname: Si