METHOD OF NEURO-FUZZY MODEL SYNTHESIS OF QUANTATIVE DEPENDENCES FOR DIAGNOSTICS AND PREDICTION PROBLEMS SOLVING

Authors

  • S. A. Subbotin

DOI:

https://doi.org/10.15588/1607-3274-2010-1-22

Keywords:

diagnosics, neuro-fuzzy network, approximation

Abstract

The problem of neuro-fuzzy approximator constructing has been solved with the aim to automate the construction of numerical models of quantitative relationships. The neuro-fuzzy network model and method of synthesis are proposed. It allows to build a neuro-fuzzy regression model of approximated dependence with the ability of generalization and subjective evaluation of the result certainty.

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Published

2010-05-15

How to Cite

Subbotin, S. A. (2010). METHOD OF NEURO-FUZZY MODEL SYNTHESIS OF QUANTATIVE DEPENDENCES FOR DIAGNOSTICS AND PREDICTION PROBLEMS SOLVING. Radio Electronics, Computer Science, Control, (1). https://doi.org/10.15588/1607-3274-2010-1-22

Issue

No. 1 (2010): Radio Electronics, Computer Science, Control

Section

Neuroinformatics and intelligent systems

License

Copyright (c) 2014 S. A. Subbotin

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