Problems and Prospects for Implementing Inter-dimensional and Inter-industry Projects in Digital Economy

Tolstykh, Tatyana; Kretova, Natalia N.; Trushevskaya, Anna; Дедова, Е. С.; Луценко, Марина Сергеевна

doi:10.1007/978-3-319-75383-6_62

Cited by 10 publications

(3 citation statements)

References 3 publications

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“…In the center of focus of made actual innovative pyramid are six layers [7,8] An important indicator is degree of sustainability of pyramid which can be determined due to parameters variations indexes (institutes, knowledge, culture, technologies, infrastructure, markets) within frameworks of each innovative environment. Thus for target state of innovative environment innovative pyramid must be balanced.…”

Section: Resultsmentioning

confidence: 99%

The use of neural networks and a genetic algorithm for modeling the innovative environment of enterprises

2020

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The purpose of this paper is to develop methodological tools for building the innovative environment of enterprises using the genetic algorithm and neural networks. The paper analyzes and highlights the advantages of genetic algorithms in the search for optimal solutions compared to classical methods. The scheme of construction of each step of the genetic algorithm is described in detail; the scheme of the presentation of artificial neural network data in key factors of innovative development of enterprises is given. The aspects of using neural networks of attractors and a genetic algorithm for modeling the processes of the innovative environment of enterprises are considered. The key problem of introducing effective industrial innovations is the lack of a favorable climatic environment that stimulates the creation of innovations that ensure the growth of global competitiveness, labor productivity and the quality of life of the population. The result of the study is the formation of a model of the innovative environment of enterprises based on the use of neural networks and a genetic algorithm.

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Section: Resultsmentioning

confidence: 99%

The use of neural networks and a genetic algorithm for modeling the innovative environment of enterprises

2020

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“…Исходными данными для работы ГА прогнозирования процесса управления средой развития промышленных комплексов являются предикаты при обозначениях, представленные в табл. 1 [11]. A, B, C, D, E, F, G, H, I, J, K Исходная популяция хромосом, задаваемая в интервале H4:S11 (рис.…”

Section: состав хромосомы генетического алгоритмаunclassified

Modeling of the Innovative Environment of Industrial Groups by Means of Neural Networks and a Genetic Algorithm

Sviridova¹,

Shkarupeta²

2018

Voprosy

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“…1. The prospects of participation in the inter-district projects aimed at the creation of a network of processing facilities for agricultural products, as in [3].…”

mentioning

confidence: 99%

The Features of Strategic Analysis Under the Terms of the Turbulent External Environment

Волкова¹,

Fedulova²,

Zhurkina³

2019

Proceedings of the International Scientific Conference "Far East Con" (ISCFEC 2018)

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Problems and Prospects for Implementing Inter-dimensional and Inter-industry Projects in Digital Economy

Cited by 10 publications

References 3 publications

The use of neural networks and a genetic algorithm for modeling the innovative environment of enterprises

The use of neural networks and a genetic algorithm for modeling the innovative environment of enterprises

Modeling of the Innovative Environment of Industrial Groups by Means of Neural Networks and a Genetic Algorithm

The Features of Strategic Analysis Under the Terms of the Turbulent External Environment

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