Within the project the model and the software package are developed for a learning, self-adjustment information and analytical system that allows operating with large amounts of data and can perform a differentiated evaluation of the efficiency of scientific and technical solutions and technologies, depending on the likelihood of their feasibility under initial data incompleteness. The decision support system is implemented on the basis of artificial intelligence methods.
|有效的开始/结束日期||01/01/2017 → 31/12/2019|
UrFU Research Division section that handles this grant (Kuibyshev, Mira)
- Mira Research Division
Type of Financial Sources