Multiple-access interference (MAI) is a principal shortcoming of code division multiple access (CDMA) system. As the optimum multiuser detection (MUD) can’t be realized in practice, more attentions are paid to suboptimum detection scheme. We investigated the application of Hopfield neural network (HNN) to the problem of multiuser detection in Multicarrier CDMA(MC-CDMA) communica -tion systems i...

Structural reanalysis methods have been proposed to improve the efficiency of structural analysis. However, are typically only applicable their specific type modification. Since optimization process often involves multiple types modifications, it is necessary establish a criterion for selecting most suitable method each modification, aiming accelerate process. In this study, effects different m...

Purpose. The purpose of this work is to substantiate the optimal values belt conveyor parameters, at which specific energy consumption for cargo transportation takes on lowest value. Methodology. substantiation parameters was carried out by minimizing function consumption, represents a weighing 1 kg distance m. In course research, drive force determined using contour bypass meth-od. case, loads...

3D measurements can be recovered from several views by triangulation. This paper deals with the problem of where to place the cameras in order to obtain a minimal error in the 3D measurements, also called camera network design in photogrammetry. We pose the problem in terms of an optimization design, dividing it into two main components: 1) an analytical part dedicated to the analysis of error ...

The paper develops a simulation-optimization model that determines where to locate electric vehicle chargers to maximize their use by privately owned electric vehicles. Applying this model to the central-Ohio region, we demonstrate that a combination of level-one and -two chargers is preferable to level-two chargers only. We further explore interactions between the optimization criterion used a...

In this paper, artificial neural networks for solving multiobjective optimization problems have been considered. The Tank-Hopfield model for linear programming has been extended, and then the neural model for finding Pareto-optimal solutions in the linear multi-criterion optimization problem with continuous decision variables has been discussed. Furthermore, the model for solving quasi-quadrati...