Development of the General Structure of the Knowledge Base for Neuro-Fuzzy Models-Reference-Cited by-同舟云学术

Development of the General Structure of the Knowledge Base for Neuro-Fuzzy Models

Published:2020 Issue: Volume: Page:824-831
ISSN:2194-5357
Container-title:VIII International Scientific Siberian Transport Forum
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Author:

Kopyrin Andrey^ORCID,Vidishcheva Evgeniya^ORCID,Makarova Irina^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-37919-3_82

Reference13 articles.

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2. Nikonov, A.V., Vulfin, A.M., Gayanova, M.M.: Sapozhnikova, M.U.: Development of the structure of the knowledge base for neuro-fuzzy diagnostic system. In: The IV International Conference on Information Technologies and Nanotechnology, pp. 2534–2545 (2018)

3. Vidishcheva, E.V., Kopyrin, A.S., Vasilenko, M.S.: Analysis and clarification of anomalies and outliers classifications in economic data. J. Alt. Ac. Ec. L. 6(1), 41–46 (2019)

4. Rutkovskaya, D.: Neural Networks, Genetic Algorithms and Fuzzy Systems (2003)

5. Marbán, Ó., Mariscal, G., Segovia, J.: A data mining & knowledge discovery process model. In: DM&K Discovery in Real Life Applications (2009)

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