Initialisation of Radial Basis Function Networks Using Classi cation Trees
نویسندگان
چکیده
Learning in radial basis function (RBF) networks is the topic of this paper. Particularly we address the problem of intialisation the centers and scaling parameters in RBF networks utilizing classiication tree algorithms. This method was introduced by Kubat in 1998. Algorithms for the calculation of the centers and scaling parameters in an RBF network are presented and numerical results for these algorithms are shown for two diierent data sets.
منابع مشابه
Ieee Transactions on Signal Processing
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