Neural Network Development for Quality Analysis of ERP Systems-Reference-Cited by-同舟云学术

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Neural Network Development for Quality Analysis of ERP Systems

Published:2024 Issue: Volume: Page:245-253
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:en
Short-container-title:

Author:

Selyutin A. D.^ORCID,Kushnikov V. A.^ORCID,Bogomolov A. S.^ORCID,Rezchikov A. F.^ORCID,Ivashchenko V. A.^ORCID,Berdnova E. V.^ORCID,Pakhomova T. V.^ORCID,Dranko O. I.^ORCID,Stepanovskaya I. A.^ORCID,Kositzyn A. A.^ORCID,Dnekeshev A. A.^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-53549-9_24

Reference19 articles.

1. Kohli, M.: Supplier evaluation model on SAP ERP application using machine learning algorithms. Inter. J. Eng. Technol. 7 (2018). https://doi.org/10.14419/ijet.v7i2.28.12951

2. Rouhani, S., Zareravasan, A.: ERP success prediction: an artificial neural network approach. Scientia Iranica 20 (2013). https://doi.org/10.1016/j.scient.2012.12.006

3. Zareravasan, A., Rouhani, S.: An Expert System for Predicting ERP Post-Implementation Benefits Using Artificial Neural Network (2017). https://doi.org/10.4018/978-1-5225-3909-4.ch036

4. Estdale, J., Georgiadou, E.: Applying the ISO, IEC 25010 Quality Models to Software Product: 25th European Conference, EuroSPI,: Bilbao, Spain, 5–7 September 2018. Proceedings (2018). https://doi.org/10.1007/978-3-319-97925-0_42

5. Hussain, A., Mkpojiogu, E.: An application of the ISO/IEC 25010 standard in the quality-in-use assessment of an online health awareness system. Jurnal Teknologi 77 (2015). https://doi.org/10.11113/jt.v77.6107

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