Methodology for the Development of Adaptive Training Systems Based on Neural Network Methods-Reference-Cited by-同舟云学术

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Methodology for the Development of Adaptive Training Systems Based on Neural Network Methods

Published:2021 Issue: Volume: Page:238-253
ISSN:2367-3370
Container-title:Software Engineering Application in Informatics
language:
Short-container-title:

Author:

Obukhov Artem^ORCID,Vostrikova Victoria^ORCID,Nazarova Alexandra^ORCID,Teselkin Daniil^ORCID,Surkova Ekaterina^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-90318-3_23

Reference27 articles.

1. Volkova, V.N., Vasiliev, A.Y., Efremov, A.A., Loginova, A.V.: Information technologies to support decision-making in the engineering and control. In: 2017 XX IEEE International Conference on Soft Computing and Measurements (SCM), pp. 727–730. IEEE, Saint-Petersburg (2017). https://doi.org/10.1109/scm.2017.7970704

2. White, B.E.: A complex adaptive systems engineering (CASE) methodology — the ten-year update. In: 2016 Annual IEEE Systems Conference (SysCon), pp. 1–8. IEEE, Orlando (2016). https://doi.org/10.1109/syscon.2016.7490547

3. Al-Zewairi, M., Biltawi, M., Etaiwi, W., Shaout, A.: Agile software development methodologies: survey of surveys. J. Comput. Commun. 5(05), 74–97 (2017). https://doi.org/10.4236/jcc.2017.55007

4. Naz, R., Khan, M.N.A.: Rapid applications development techniques: a critical review. Int. J. Softw. Eng. Appl. 9(11), 163–176 (2015). https://doi.org/10.14257/ijseia.2015.9.11.15

5. Asgar, T.S., King, T.M.: Formalizing Requirements in ERP Software Implementations. Lect. Notes Softw. Eng. 4(1), 34–40 (2016). https://doi.org/10.7763/lnse.2016.v4.220

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