To obtain access to full text of journal and articles you must register!
- Article name
- DEVELOPMENT OF A PREDICTIVE MODEL OF INVESTMENT EFFICIENCY FOR COMPLEX ONBOARD EQUIPMENT USING MACHINE LEARNING
- Authors
- Kuznetsova E. S., , e.s.kuznetsova@inbox.ru, JSC "Research Institute "Submicron", Moscow, Zelenograd, Russia
Pepelyaeva A. I., , nastya8781997@mail.ru, JSC "Research Institute "Submicron"; National Research University "MIET", Zelenograd, Moscow, Russia
Ivanchenko S. A., , sergeypankrat@yandex.ru, JSC "Research Institute "Submicron"; National Research University "MIET", Zelenograd, Moscow, Russia
Tereshkovich V. N., , vasilisatereskovic@gmail.com, National Research University "MIET", Zelenograd, Moscow, Russia
Bobrikov D. A., , bobrikov.dmitriy@gmail.com, National Research University "MIET", Zelenograd, Moscow, Russia
- Keywords
- modeling / onboard equipment / machine learning
- Year
- 2024 Issue 3 Pages 37 - 41
- Code EDN
- UEIVPX
- Code DOI
- 10.52190/2073-2597_2024_3_37
- Abstract
- The process of predictive modeling of work before the start of designing complex onboard equipment is investigated with the aim of evaluating the project's investment efficiency. An overview of machine learning algorithms for predictive modeling is presented. A predictive mathematical model is developed and its accuracy is tested on previously developed projects.
- Text
- BUY for read the full text of article
- Buy
- 500.00 rub
