Litcius/Paper detail

Sigmoid functions for the smooth approximation to the absolute value function

Yogesh J. Bagul, Christophe Chesneau

2020Moroccan Journal of Pure and Applied Analysis15 citationsDOIOpen Access PDF

Abstract

Abstract We present smooth approximations to the absolute value function | x | using sigmoid functions. In particular, x erf( x / μ ) is proved to be a better smooth approximation for | x | than x tanh( x / μ ) and <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:msqrt> <m:mrow> <m:msup> <m:mrow> <m:mi>x</m:mi> </m:mrow> <m:mn>2</m:mn> </m:msup> <m:mo>+</m:mo> <m:mi>μ</m:mi> </m:mrow> </m:msqrt> </m:mrow> </m:math> \sqrt {{x^2} + \mu } with respect to accuracy. To accomplish our goal we also provide sharp hyperbolic bounds for the error function.

Topics & Concepts

Sigmoid functionHyperbolic functionFunction (biology)Value (mathematics)MathematicsApproximation errorMathematical analysisCombinatoricsPhysicsComputer scienceStatisticsArtificial neural networkMachine learningEvolutionary biologyBiologyIterative Methods for Nonlinear EquationsNumerical Methods and AlgorithmsMathematical functions and polynomials