Radial basis function networks in nonparametric classification and function learning
نویسندگان
چکیده
In this paper we apply normalized radial basis function networks to function learning and in nonparametric classification. A simple parameter learning technique is proposed and convergence and the rates of convergence of the empirically trained networks are studied theoretically and in computer experiments.
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