Probability Density Estimation Using Adaptive Activation Function Neurons

Authors:
Simone Fiori;Paolo Bucciarelli
Affiliations:
Neural Networks and Adaptive System Research Group, Dept. of Industrial Engineering, University of Perugia, Perugia, Italy. E-mail: simone@eealab.unian.it, sfr@unipg.it;Zentral Institut für Biomedizinische Technik, University of Ulm, Ulm, Germany
Venue:
Neural Processing Letters
Year:
2001

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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.