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CONSTRUCTIVE APPROXIMATION BY GAUSSIAN NEURAL NETWORKS
2012
Honam Mathematical Journal
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In this paper, we discuss a constructive approximation by Gaussian neural networks. We show that it is possible to construct Gaussian neural networks with integer weights that approximate arbitrarily well for functions in Cc(R s ). We demonstrate numerical experiments to support our theoretical results.
doi:10.5831/hmj.2012.34.3.341
fatcat:d6wpobotafahhnjevfbsn7e344