Clusters partition algorithm for a self-organizing map for detecting resource-intensive database inquiries in a geo-ecological monitoring system
DOI:
https://doi.org/10.21533/pen.v9.i4.1016Abstract
The paper presents the research, aimed at improving the efficiency of automated software system for geo-ecological monitoring of agro-industrial sector resources. An algorithm of clusters partition in a self-organizing map was developed, in order to detect resource-intensive inquiries to databases of agricultural resources and objects. The algorithm is based on using fuzzy inference. The corresponding software for implementing the proposed algorithm was created. The carried-out experimental research has demonstrated that this algorithm allows considerably increasing the correctness of detecting resource-intensive inquiries to databases in comparison with other similar software applications. The algorithm, presented in this paper, can be recommended for practical application in an automated software system for geo-ecological monitoring of agricultural resources and objects.
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