RESULTS AND CHALLENGES OF ARTIFICIAL NEURAL NETWORKS USED FOR
DECISION-MAKING AND CONTROL IN MEDICAL APPLICATIONS Adriana Albu, Page 1 …

This paper presents a novel adaptive Gravitational Search Algorithm (GSA) for the optimal
tuning of fuzzy controlled servo systems characterized by second-order models with an …

This paper presents aspects concerning embedding Gravitational Search Algorithms (GSAs)
in Convolutional Neural Networks (CNNs) for Optical Character Recognition (OCR) systems …

In this article, we define a new class of orthogonal filters with complex poles and zeroes
inside their transfer function. This further improvement of classical orthogonal filters allows …

In this article, we present a new method for the synthesis of almost and quasi-orthogonal
polynomials of arbitrary order. Filters designed on the bases of these functions are …

In this article, a new class of quasi-orthogonal filters, based on the Legendre and Malmquist-
type quasi-orthogonal polynomials, is presented. These filters are generators of quasi …

This paper presents one possible application of generalized quasi-orthogonal functional
networks in the sensitivity analysis of complex dynamical systems. First, a new type of first …

This paper considers the robustness of the differential pulse-code modulation system with
higher-order predictors. Special attention is paid to the robust parametric stability of the …

A new class of cascade digital orthogonal filters of the Malmquist type based on bilinear
transformation for mapping poles to zeroes and vice versa is presented in this paper. In a …

This paper presents some of the results and contributions to the theory of orthogonal
polynomials, orthogonal functions and corresponding filters, achieved in the last fifteen …