Probability Density Estimation Using Adaptive Activation Function Neurons

@article{Fiori2001ProbabilityDE,
  title={Probability Density Estimation Using Adaptive Activation Function Neurons},
  author={Simone G. O. Fiori and Paolo Bucciarelli},
  journal={Neural Processing Letters},
  year={2001},
  volume={13},
  pages={31-42}
}
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. 

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