Development of the decision support subsystem in the systems of neural network pattern recognition by statistical information

Authors

  • Ольга Сергеевна Маникаева Odessa National Polytechnic University st. Shevchenko 1, Odessa, Ukraine, 65044, Ukraine
  • Елена Александровна Арсирий Odessa National Polytechnic University st. Shevchenko 1, Odessa, Ukraine, 65044, Ukraine
  • Александра Петровна Василевская Odessa National Polytechnic University st. Shevchenko 1, Odessa, Ukraine, 65044, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2015.56429

Keywords:

decision support system, pattern recognition, knowledge representation models, Kohonen neural networks

Abstract

The decision support subsystem in the neural network pattern recognition system, allowing to reduce the subjectivity and increase the quality of expert decisions in the construction of training samples by the statistical data of observations over the state of the management facilities of the production or social environment is developed. A functional structure of the NNPR system of the management facilities of the production or social environment by statistical information is proposed. According to the proposed structure, the problem-oriented NNPR system consists of subsystems of the initial data preparation for the PR and storage of the aggregated data, neural network models, and knowledge about the management facility of the production or social environment, as well as the support of the decision-making about its state. The decision support subsystem based on the proposed method of support of the classification decision-making using the Kohonen self-organizing layer is developed. The developed method of support of the classification decision-making provides a consistent implementation of the stages of self-organizing of neurons of the Kohonen computing layer, the calibration of the elements of the output vector of the training sample and their final labeling. An example of implementation of the proposed subsystem of support of decision-making about the class of the initialized labor protection project based on the expert estimates of the current level of the organization and working conditions at the enterprise is given. Using the developed decision support subsystem in the systems of NNPR by statistical information allows to adjust the decisions of the DM in accordance with the decisions of the neural network output machine, and thereby increase a relative share of correct expert estimates by 20 % on average and reduce false estimates for a number of pattern recognition problems by 50 %.

Author Biographies

Ольга Сергеевна Маникаева, Odessa National Polytechnic University st. Shevchenko 1, Odessa, Ukraine, 65044

postgraduate

Department of Information Systems

Елена Александровна Арсирий, Odessa National Polytechnic University st. Shevchenko 1, Odessa, Ukraine, 65044

Doctor of Science in Technology

Department of Information Systems

Александра Петровна Василевская, Odessa National Polytechnic University st. Shevchenko 1, Odessa, Ukraine, 65044

Junior Researcher

Research Section 

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Published

2015-12-22

How to Cite

Маникаева, О. С., Арсирий, Е. А., & Василевская, А. П. (2015). Development of the decision support subsystem in the systems of neural network pattern recognition by statistical information. Eastern-European Journal of Enterprise Technologies, 6(4(78), 4–12. https://doi.org/10.15587/1729-4061.2015.56429

Issue

Vol. 6 No. 4(78) (2015): Mathematics and Cybernetics - applied aspects

Section

Mathematics and Cybernetics - applied aspects

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Copyright (c) 2015 Ольга Сергеевна Маникаева, Елена Александровна Арсирий, Александра Петровна Василевская

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