密度估计的RBF网络

1996 8th European Signal Processing Conference (EUSIPCO 1996) Pub Date : 1996-09-01 DOI:10.5281/ZENODO.36129

L. Sardo, J. Kittler

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引用次数: 1

摘要

提出了一种非参数概率密度函数估计技术。该估计包括用高斯径向基函数网络(GRBFs)逼近未知的pdf。为了选择最优的grbf数量，引入了复杂性分析。实际数据的结果表明了该技术的潜力。

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RBF networks for density estimation

A non-parametric probability density function (pdf) estimation technique is presented. The estimation consists in approximating the unknown pdf by a network of Gaussian Radial Basis Functions (GRBFs). Complexity analysis is introduced in order to select the optimal number of GRBFs. Results obtained on real data show the potentiality of this technique.

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来源期刊

1996 8th European Signal Processing Conference (EUSIPCO 1996)

自引率

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