APPLICATION OF NEURAL NETWORK TECHNOLOGIES FOR MANAGEMENT DEVELOPMENT OF SYSTEMS
Work is devoted to application of neural network technologies for management development of systems. In article the analysis of efficiency of introduction of neural network technologies is carried out to business processes of three Russian companies and the positive effect locates when using neural...
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Real Economics Publishing House
2021
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oai:doaj.org-article:452d95cf5d0e4328964d5ec531cb30022021-11-19T10:42:01ZAPPLICATION OF NEURAL NETWORK TECHNOLOGIES FOR MANAGEMENT DEVELOPMENT OF SYSTEMS2618-947X2618-998410.17747/2618-947X-923https://doaj.org/article/452d95cf5d0e4328964d5ec531cb30022021-05-01T00:00:00Zhttps://www.jsdrm.ru/jour/article/view/923https://doaj.org/toc/2618-947Xhttps://doaj.org/toc/2618-9984Work is devoted to application of neural network technologies for management development of systems. In article the analysis of efficiency of introduction of neural network technologies is carried out to business processes of three Russian companies and the positive effect locates when using neural networks in several parameters.The case analysis is added with the analysis of economic feasibility of introduction of neural networks by means of an assessment of studied indicators, an assessment of satisfaction of clients, control of the personnel, an assessment of efficiency of each employee. Recommendations about application of neural networks in the organization are made.In article it is shown that in spite of the fact that many actions necessary for introduction of system, are costly and long-term, they will positively affect company activity.A. L. LisovskyReal Economics Publishing House articleartificial intelligenceneural networksinformation technologiesimprovement of business processesRisk in industry. Risk managementHD61RU Strategičeskie Rešeniâ i Risk-Menedžment, Vol 11, Iss 4, Pp 378-389 (2021) |
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artificial intelligence neural networks information technologies improvement of business processes Risk in industry. Risk management HD61 |
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artificial intelligence neural networks information technologies improvement of business processes Risk in industry. Risk management HD61 A. L. Lisovsky APPLICATION OF NEURAL NETWORK TECHNOLOGIES FOR MANAGEMENT DEVELOPMENT OF SYSTEMS |
description |
Work is devoted to application of neural network technologies for management development of systems. In article the analysis of efficiency of introduction of neural network technologies is carried out to business processes of three Russian companies and the positive effect locates when using neural networks in several parameters.The case analysis is added with the analysis of economic feasibility of introduction of neural networks by means of an assessment of studied indicators, an assessment of satisfaction of clients, control of the personnel, an assessment of efficiency of each employee. Recommendations about application of neural networks in the organization are made.In article it is shown that in spite of the fact that many actions necessary for introduction of system, are costly and long-term, they will positively affect company activity. |
format |
article |
author |
A. L. Lisovsky |
author_facet |
A. L. Lisovsky |
author_sort |
A. L. Lisovsky |
title |
APPLICATION OF NEURAL NETWORK TECHNOLOGIES FOR MANAGEMENT DEVELOPMENT OF SYSTEMS |
title_short |
APPLICATION OF NEURAL NETWORK TECHNOLOGIES FOR MANAGEMENT DEVELOPMENT OF SYSTEMS |
title_full |
APPLICATION OF NEURAL NETWORK TECHNOLOGIES FOR MANAGEMENT DEVELOPMENT OF SYSTEMS |
title_fullStr |
APPLICATION OF NEURAL NETWORK TECHNOLOGIES FOR MANAGEMENT DEVELOPMENT OF SYSTEMS |
title_full_unstemmed |
APPLICATION OF NEURAL NETWORK TECHNOLOGIES FOR MANAGEMENT DEVELOPMENT OF SYSTEMS |
title_sort |
application of neural network technologies for management development of systems |
publisher |
Real Economics Publishing House |
publishDate |
2021 |
url |
https://doaj.org/article/452d95cf5d0e4328964d5ec531cb3002 |
work_keys_str_mv |
AT allisovsky applicationofneuralnetworktechnologiesformanagementdevelopmentofsystems |
_version_ |
1718420188540436480 |