Fuzzy Model Transparency Protection while teaching by Experimental Data

Authors

  • S. D. Shtovba

Keywords:

fuzzy model, knowledge base, learning, identification, and model transparency

Abstract

Typical violations of fuzzy model transparency produced as a result of teaching by experimental data are revealed. The system of limitations which provides transparency of fuzzy models, in the process of teaching is formed. The accuracy of identification is not practically decreased as compared with conventional methods of fuzzy models teaching.

Downloads

Abstract views: 112

Published

2010-11-12

How to Cite

[1]
S. D. Shtovba, “Fuzzy Model Transparency Protection while teaching by Experimental Data”, Вісник ВПІ, no. 6, pp. 39–45, Nov. 2010.

Issue

No 6 (2006)

Section

Automation and information-measuring equipment

Metrics

Downloads

Download data is not yet available.

License

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).