ITM Web Conf.
Volume 24, 2019AMCSE 2018 - International Conference on Applied Mathematics, Computational Science and Systems Engineering
|Number of page(s)||5|
|Published online||01 February 2019|
Initial database creation for scientific and technical solutions efficiency assessment based on artificial intelligence approach
Ural Federal University, 620002 Mira Street 19, Ekaterinburg, Russian Federation
* Corresponding author: firstname.lastname@example.org
This paper is devoted to the problems and features of database creation in intelligent systems for assessing the efficiency of scientific and technical solutions. The system data model developed by the authors and the principles of its operation are described. This paper also considers the process of training sampling and the analysis of various teaching methods for solving the presented problem. The implementation of the developed model is made using mathematical modeling. The initial data was the data of applications for grants in the field of technical sciences related to the fuel and energy complex.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.