METHODS OF INTELLIGENT DATA ANALYSIS USING NEURAL NETWORKS IN DIAGNOSIS
Volodymyr Lyfar
lifar@snu.edu.uaVolodymyr Dahl East Ukrainian National University (Ukraine)
https://orcid.org/0000-0002-3014-5521
Olena Lyfar
Volodymyr Dahl East Ukrainian National University (Ukraine)
https://orcid.org/0000-0002-3014-5521
Volodymyr Zynchenko
Institute of Telecommunications and Global Information Space (Ukraine)
Abstract
The considered methods make it possible to develop the structure of diagnostic systems based on neural networks and implement decision support systems in classification diagnostic problems. The study uses general special methods of data mining and the principles of constructing an artificial intelligence system based on neural networks. The problems that arise when filling knowledge bases and training neural networks are highlighted. Methods for developing models of intelligent data processing for diagnostic purposes based on neural networks are proposed. The authors developed and verified an activation function for intermediate neural levels, which allows the use of weighting coefficients as probabilities of diagnostic processes and avoids the problem of local minima when using gradient descent methods. The authors identified special problems that may arise during the practical implementation of a decision support system and the development of knowledge bases. An original activation function for intermediate layers is proposed, obtained based on the modernization of the Gaussian error function. The experience of using the considered methods and models allows us to implement artificial intelligence diagnostic systems in various classification problems.
Keywords:
artificial intelligence, neural networks, diagnostics, data analysis, knowledge bases, machine learningReferences
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Authors
Volodymyr Lyfarlifar@snu.edu.ua
Volodymyr Dahl East Ukrainian National University Ukraine
https://orcid.org/0000-0002-3014-5521
Authors
Olena LyfarVolodymyr Dahl East Ukrainian National University Ukraine
https://orcid.org/0000-0002-3014-5521
Authors
Volodymyr ZynchenkoInstitute of Telecommunications and Global Information Space Ukraine
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