MATEC Web Conf.
Volume 239, 2018Siberian Transport Forum - TransSiberia 2018
|Number of page(s)||6|
|Section||Planning and Managing Resources of Transport Enterprises|
|Published online||27 November 2018|
Innovative management neural network modelling based on logistic theory
1 Peter the Great St. Petersburg Polytechnic University, Polytechnic Str., 29, Saint-Petersburg, 195251, Russia
2 Selectel Ltd., Head of Internal Audit, Str. Tsvetochnaya 21, lit. А, Saint-Petersburg, 196084, Russia
* Corresponding author: email@example.com
Logistical approach assumes the scheme of the variety of flows, including financial resources, material values and information with all of them being united in a specific flow of logistical resources. The paper covers the concept that the stages of the study are likely to form the research area being described as the net of the characteristics of the social and economic system subject to researcher consideration. The neural network considers attitudes of modern scientific thought on obtaining objectively true knowledge about the surrounding reality on the basis of the theory of logistic studies of unique innovative management developing systems. The different principles of training neural networks enable to independently determine the degree of influence of certain factors on the result of operations. Continuous innovative development of production processes, ongoing automation processes in all areas of industrial enterprises and other related changes in the knowledge economy increase the role of information and its processing in providing competitive advantages.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 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.