Ordinary and fractional approximations by non-additive integrals, especially by integral approximators of Choquet, Silkret and Sugeno types, are a new trend in

This book is about the generalization and modernization of approximation by neural network operators. Functions under approximation and the neural networks are

This book employs an abstract kernel fractional calculus with applications to Prabhakar and non-singular kernel fractional calculi. The results are univariate a

This book presents generalized Caputo fractional Ostrowski and Grüss-type inequalities involving several Banach algebra valued functions. Furthermore, the auth

In this book, we introduce the parametrized, deformed and general activation function of neural networks. The parametrized activation function kills much less n