z-logo
open-access-imgOpen Access
Hausdorff approximation of the sign function by a class of parametric activation functions
Author(s) -
Nikolay Kyurkchiev,
Svetoslav Markov
Publication year - 2016
Publication title -
biomath communications
Language(s) - English
Resource type - Journals
eISSN - 2367-5241
pISSN - 2367-5233
DOI - 10.11145/bmc.2016.12.217
Subject(s) - sign (mathematics) , hausdorff distance , mathematics , hausdorff space , parametric statistics , function (biology) , class (philosophy) , hausdorff measure , hausdorff dimension , sign function , combinatorics , pure mathematics , discrete mathematics , mathematical analysis , statistics , computer science , artificial intelligence , evolutionary biology , biology
In this paper we study the distance between the sign function and a class of parametric activation functions. The distance is measured in Hausdorff sense, which is natural in a situation when a sign function is involved. Precise upper and lower bounds for the Hausdorff distance have been obtained.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom