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(Neural Computation. 2002;14:2847-2855.)
© 2002 The MIT Press

Note

Notes on Bell-Sejnowski PDF-Matching Neuron

Simone Fiori

sfr{at}unipg.it, Faculty of Engineering, University of Perugia, Loc. Pentima bassa, 21, I-05100 Terni, Italy

This article investigates the behavior of a single-input, single-unit neuron model of the Bell-Sejnowski class, which learn through the maximum-entropy principle, in order to understand its probability density function matching ability.




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S. Fiori
Closed-Form Expressions of Some Stochastic Adapting Equations for Nonlinear Adaptive Activation Function Neurons
Neural Comput., December 1, 2003; 15(12): 2909 - 2929.
[Abstract] [Full Text] [PDF]


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