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Probability Density Estimation Using Adaptive Activation Function Neurons
Authors:Fiori  Simone  Bucciarelli  Paolo
Affiliation:(1) Neural Networks and Adaptive System Research Group, Dept. of Industrial Engineering, University of Perugia, Perugia, Italy;(2) Zentral Institut für Biomedizinische Technik, University of Ulm, Ulm, Germany
Abstract:In this paper we deal with the problem of approximating the probability density function of a signal by means of adaptive activation function neurons. We compare the proposed approach to the one based on a mixture of kernels and show through computer simulations that comparable results may be obtained with limited expense in computational efforts.
Keywords:adaptive activation function neurons  cumulative distribution function  differential entropy  probability density function  stochastic gradient
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