EXPERIMENTAL INVESTIGATION AND ANALYSIS OF INFORMATION QUALITY INDICES CORRELATION FOR DIAGNOSTIC NEUROMODELS

Authors

  • S. A. Subbotin

DOI:

https://doi.org/10.15588/1607-3274-2011-1-19

Keywords:

quality, model, technical diagnosis, neural network, neuro-fuzzy network.

Abstract

The complex of information quality indices of diagnostic neuromodels has been experimentally investigated by solving practical problems. Qualitative relationships between the indices have been obtained. When used for formation of integral quality indices, they can simplify computation by eliminating duplicate indices.

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Published

2011-08-12

How to Cite

Subbotin, S. A. (2011). EXPERIMENTAL INVESTIGATION AND ANALYSIS OF INFORMATION QUALITY INDICES CORRELATION FOR DIAGNOSTIC NEUROMODELS. Radio Electronics, Computer Science, Control, (1). https://doi.org/10.15588/1607-3274-2011-1-19

Issue

No. 1 (2011): Radio Electronics, Computer Science, Control

Section

Neuroinformatics and intelligent systems

License

Copyright (c) 2014 S. A. Subbotin

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