Probability Density Estimation Using Adaptive Activation Function Neurons 

 -  Neural Processing Letters, 13(1), p.31, 2001 .
<br/><br/> 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. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>ADAPTIVE ACTIVATION FUNCTION NEURONS<br/>CUMULATIVE DISTRIBUTION FUNCTION<br/>DIFERENTIAL ENTROPY<br/>PROBABILITY DENSITY FUNCTION<br/>STOCHASTIC GRADIENT