THE DIAGNOSIS MODEL BUILDING ON THE BASIS OF NEGATIVE SELECTION PARADIGM USING THE PRINCIPLE OF DETECTOR ASKING

Authors

  • S. A. Zaitsev
  • S. A. Subbotin

DOI:

https://doi.org/10.15588/1607-3274-2011-2-11

Keywords:

negative selection, masked detector, stopping criterion.

Abstract

A new negative selection model using masked detectors with training method has been developed. Various stopping criteria for the training method have been investigated. The stopping criterion is proposed. It allows to terminate training procedure, to speedup training process and to reduce computational resources.

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Published

2012-01-11

How to Cite

Zaitsev, S. A., & Subbotin, S. A. (2012). THE DIAGNOSIS MODEL BUILDING ON THE BASIS OF NEGATIVE SELECTION PARADIGM USING THE PRINCIPLE OF DETECTOR ASKING. Radio Electronics, Computer Science, Control, (2). https://doi.org/10.15588/1607-3274-2011-2-11

Issue

No. 2 (2011): Radio Electronics, Computer Science, Control

Section

Mathematical and computer modelling

License

Copyright (c) 2014 S. A. Zaitsev, S. A. Subbotin

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