This monograph is the continuation and completion of the monograph, “Intelligent Systems: Approximation by Artificial Neural Networks” written by the same a

This brief monograph is the first one to deal exclusively with the quantitative approximation by artificial neural networks to the identity-unit operator. Here

This compact book focuses on self-adjoint operators’ well-known named inequalities and Korovkin approximation theory, both in a Hilbert space environment. It

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

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