USE KOHONEN SELF-ORGANIZING MAP FOR THE SYNTHESIS OF CONTROL SYSTEMS WATER PURIFICATION EQUIPMENT
Abstract
Analyzed urgency complement classical architecture information and control systems Kohonen self-organizing maps; assessed the prospects of using the default algorithm for modeling of self-organization processes of the special purpose, for example, sewage the treatment plants; reasonable limits of process parameters as water purification; synthesized and tested for adequacy appropriate Kohonen neural network; received classes (clusters) parameters as water purification; are promising directions for further research in classical architecture complemented by information control systems Kohonen self-organizing maps in case management settings purification.
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