Abstract
The problem of locating centers for radial basis functions in neural networks is discussed. The proposed approach allows us to apply the results from the theory of optimum experimental designs. In typical cases we are able to compose optimal centers' locations from the known univariate experiment designs.
Cite
CITATION STYLE
APA
Rafajłowicz, E., & Pawlak, M. (2004). Optimization of centers’ positions for RBF nets with generalized kernels. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3070, pp. 253–259). Springer Verlag. https://doi.org/10.1007/978-3-540-24844-6_34
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