Structural Identification of Classificators in Crisis Monitoring Systems

Authors

  • A.S. Avramenko Department of intelligent decision support systems Bogdan Khmelnitsky Cherkassy National University
  • S.V. Golub Department of intelligent decision support systems Bogdan Khmelnitsky Cherkassy National University

Keywords:

crisis monitoring, multilevel modeling, clasterisation, system restructuring time, modelling error

Abstract

Modernization of a method for optimizing the structure of the crisis monitoring information systems is proposed. Improving of accuracy and quality in classification models achieved by clustering the input data arrays. Best algorithm of model synthesis is selected for each cluster in the input data arrays. Effectiveness of the improved method was experimentally confirmed. Time for restructuring of models reduced by 60%. Errors of modelling is not significantly worse.

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Published

2018-05-19

Issue

2018: INFORMATION TECHNOLOGIES AND COMPUTER MODELLING proceedings of the International Scientific Conference

Section

Section 7 Mathematical and computer modelling of complex systems