Evolution Methods of Formation of Neuronet Models of Complex Economic Systems
The article analyses principles of formation of neuronet models of complex economic systems. It justifies prospectiveness of use of artificial intellect methods when modelling complex economic systems. It shows a possibility of use of evolution methods when forming neuronet models of complex economi...
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| Format: | Article |
| Language: | English |
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Research Centre of Industrial Problems of Development of NAS of Ukraine
2014-01-01
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| Series: | Bìznes Inform |
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| Online Access: | http://www.business-inform.net/pdf/2014/1_0/69_73.pdf |
| _version_ | 1818546243460136960 |
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| author | Khemelyov Oleksandr H. |
| author_facet | Khemelyov Oleksandr H. |
| author_sort | Khemelyov Oleksandr H. |
| collection | DOAJ |
| description | The article analyses principles of formation of neuronet models of complex economic systems. It justifies prospectiveness of use of artificial intellect methods when modelling complex economic systems. It shows a possibility of use of evolution methods when forming neuronet models of complex economic systems for ensuring invariance of their generalising properties. It offers an algorithm with a genome from operons of fixed length. It considers all operons from the point of view of functional positions. It notes a specific feature of the algorithm, which allows excluding anthropogenic factors when selecting the neuronet models architecture. It proves adequacy of the formed neuronet models of complex economic systems. |
| first_indexed | 2024-12-12T07:50:36Z |
| format | Article |
| id | doaj.art-7681bdf33d5a4c0fab4f0a2d00e077bc |
| institution | Directory Open Access Journal |
| issn | 2222-4459 |
| language | English |
| last_indexed | 2024-12-12T07:50:36Z |
| publishDate | 2014-01-01 |
| publisher | Research Centre of Industrial Problems of Development of NAS of Ukraine |
| record_format | Article |
| series | Bìznes Inform |
| spelling | doaj.art-7681bdf33d5a4c0fab4f0a2d00e077bc2022-12-22T00:32:27ZengResearch Centre of Industrial Problems of Development of NAS of UkraineBìznes Inform2222-44592014-01-0116973Evolution Methods of Formation of Neuronet Models of Complex Economic SystemsKhemelyov Oleksandr H.0 Donbas State Technical University The article analyses principles of formation of neuronet models of complex economic systems. It justifies prospectiveness of use of artificial intellect methods when modelling complex economic systems. It shows a possibility of use of evolution methods when forming neuronet models of complex economic systems for ensuring invariance of their generalising properties. It offers an algorithm with a genome from operons of fixed length. It considers all operons from the point of view of functional positions. It notes a specific feature of the algorithm, which allows excluding anthropogenic factors when selecting the neuronet models architecture. It proves adequacy of the formed neuronet models of complex economic systems.http://www.business-inform.net/pdf/2014/1_0/69_73.pdfeconomic systembusiness processneuronet modelsevolution methods |
| spellingShingle | Khemelyov Oleksandr H. Evolution Methods of Formation of Neuronet Models of Complex Economic Systems Bìznes Inform economic system business process neuronet models evolution methods |
| title | Evolution Methods of Formation of Neuronet Models of Complex Economic Systems |
| title_full | Evolution Methods of Formation of Neuronet Models of Complex Economic Systems |
| title_fullStr | Evolution Methods of Formation of Neuronet Models of Complex Economic Systems |
| title_full_unstemmed | Evolution Methods of Formation of Neuronet Models of Complex Economic Systems |
| title_short | Evolution Methods of Formation of Neuronet Models of Complex Economic Systems |
| title_sort | evolution methods of formation of neuronet models of complex economic systems |
| topic | economic system business process neuronet models evolution methods |
| url | http://www.business-inform.net/pdf/2014/1_0/69_73.pdf |
| work_keys_str_mv | AT khemelyovoleksandrh evolutionmethodsofformationofneuronetmodelsofcomplexeconomicsystems |