Artificial neural networks in problems of material objects implementation. Part 2. Design and application specifics

Abstract

In this work paradigms and rules of neural networks learning are considered in a generalized form and the relationship between them are analyzed. The major tasks which can be solved by means of neural networks are analyzed. The main problem of using neural networks in problems of material objects implementation are defined in need of further theoretical research. The expediency of usage neural networks ensembles are substantiated with the followed by their transformation under specific applied design problems.

Authors and Affiliations

V. Adamenko, G. Mirskikh

Keywords

Related Articles

Small-sized transition from rectangular waveguide to a microstrip line

The novel design of small-sized integrated transition from rectangular waveguide to a microstrip line is submitted. The theoretical and experimental characteristics are given

Features of the system of preliminary nonlinear probing in nonlinear radar

The work is devoted to actual problem of estimation of the impact of density the obstructing nonlinear scatterers (NS) based on the structures "metaloxide-metal" in the nonlinear radar space on the efficiency of usage p...

Microstrip filter based on 2D inhomogeneities

Realization of microstrip narrow-band filters based on 1D- and 2D-inhomogeneities areconsidered. Features impedance dependencies of filter structures are analyzed. There areillustrated, that 2D-inhomogeneities, as electr...

Мethods of reduction of the peak-factor in channels with OFDM.

In given article the basic methods of reduction of the peak-factor in systems which use OFDM signals are considered.

Assessment of the impact parameters switching in the switching-modulation converters

Introduction. The switching-modulation commutator (SMC) in the front part is used in design of the highly-sensitive radiometric systems with modulation type. These devices may restrict a band of the input broadband signa...

Download PDF file
  • EP ID EP309289
  • DOI 10.20535/RADAP.2012.48.213-221
  • Views 43
  • Downloads 0

How To Cite

V. Adamenko, G. Mirskikh (2012). Artificial neural networks in problems of material objects implementation. Part 2. Design and application specifics. Вісник НТУУ КПІ. Серія Радіотехніка, Радіоапаратобудування, 0(48), 213-221. https://europub.co.uk/articles/-A-309289