文章基本信息

标题：Innovative management neural network modelling based on logistic theory
本地全文：下载
作者：Olga Kalinina ; Eduard Balchik ; Sergei Barykin 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2018
卷号：239
DOI：10.1051/matecconf/201823904021
语种：English
出版社：EDP Sciences
摘要：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.