Publication TypeJournal Article
Year of Publication2018
JournalNeural, Parallel, and Scientific Computations
Start Page225
Date Published09/2018

In this paper we introduce and consider a new class of cumulative distribution functions. This class belongs to the important class of functions arising from the theory of impulse techniques, neural networks and debugging theory.

By this family we study the Hausdorff approximation of the impulse function $\sigma^{\ast \ast}(t)$.

Numerical examples, illustrating our results using the programming environment CAS MATHEMATICA are presented.

Refereed DesignationRefereed
Full Text


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