Artificial neural networks in diagnostic system for purifying fumes installation

Stanisław Bańka; Krzysztof Jaroszewski

Stanisław Bańka Szczecin University of Technology
Krzysztof Jaroszewski Szczecin University of Technology

Abstract

The purpose of the paper is to present solution to design additional diagnostic system for, based on cutting-edge technology, purifying fumes installation. Neural networks, which determine the core of the system, were used as predictive models. Designed very efficient neural structures have served to build simulative diagnostic advisory system.

Keywords

artificial intelligence, neural networks, advisory systems, diagnostics,

References

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