A Global Optimization Method of Radial Basis Function Networks for Function Approximation
نویسندگان
چکیده
منابع مشابه
A Radial Basis Function Method for Global Optimization
We introduce a method that aims to nd the global minimum of a continuous nonconvex function on a compact subset of IR d. It is assumed that function evaluations are expensive and that no additional information is available. Radial basis function interpolation is used to deene a utility function. The maximizer of this function is the next point where the objective function is evaluated. We show ...
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ژورنال
عنوان ژورنال: The KIPS Transactions:PartB
سال: 2007
ISSN: 1598-284X
DOI: 10.3745/kipstb.2007.14-b.5.377