Common conceptions are given about multi-sensor systems. The structure of the data processing unit of multi-sensor system for concentration monitoring of heavy metals ions in aqueous media is described. Main stages of the data processing, – clustering and quantitative identification are introduced. The approach which presupposes use of artificial neural networks, – Kohonen networks and radial basis function networks, is designed. Such algorithmic architecture is implemented which allows to avoid significant computing resources expenses. The program for computer IBM PC in high-level language of application package MATLAB is written.

Keywords: Multi-sensor systems, artificial neural networks, Kohonen networks, radial basis function networks, data processing, pattern recognition, environmental monitoring, heavy metals, ion-selective electrodes

In the present workwas carried outmodeling of self-assembly of conductive polymer materials for hybridsensor systems for example polyacrylonitrile with silver metallic inclusions. Implementation of modeling was performed by the Wang-Landau and entropic Monte Carlo simulation based on a model with a fixed valence angle. For modeling polymerization process using an algorithm based on the principles of irreversible aggregation of Eden.Methods of quantum chemistry has been investigated and the possibility of obtaining the silver property PAN, as there doxpolymer.

Keywords: Hybrid sensor systems polyconjugated functional conductive polymers, metal-organic polymer composites, the energy of the Hartree-Focksemi conductor gas sensitive materials, mathematical modeling, Monte Carlo, quantum-chemical calculations