Skip to main content

Advertisement

Springer Nature Link
Log in

Analysis of industry convergence based on improved neural network

  • Focus
  • Published:
Soft Computing Aims and scope Submit manuscript

Abstract

Economic growth in the age of information is no longer a stage driven by unipolarity. It has entered to a multi-polar driving stage characterized by integration, fusion, and integrated development on a larger scale between regions, and the trend of group competition with urban agglomerations as carriers has become increasingly obvious. This paper improves the neural network algorithm based on the needs of industrial economic integration in the digital age and proposes an industry convergence analysis model based on the improved neural network algorithm. Moreover, this article combines industry models to analyze actual needs, constructs an industry convergence analysis model based on improved neural networks, and analyzes the integration of different industries. In addition, this article conducts experiments through multiple sets of data and combines the neural network model of this article to conduct research. Through experimental research, we know that the model constructed in this paper can play an important role in the analysis of industry convergence.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  • Akhmetshin EM, Kolpak EP, Sulimova EA et al (2017) Clustering as a criterion for the success of modern industrial enterprises[J]. Int J Appl Bus Econ Res 15(23):221–231

    Google Scholar 

  • Belso-Martinez JA, Diez-Vial I, Lopez-Sanchez MJ et al (2018) The brokerage role of supporting organizations inside clusters: how does it work?[J]. Eur Plan Stud 26(4):706–725

    Article  Google Scholar 

  • Chain CP, Santos AC, Castro LG et al (2019) Bibliometric analysis of the quantitative methods applied to the measurement of industrial clusters[J]. Journal of Economic Surveys 33(1):60–84

    Article  Google Scholar 

  • Chandrashekar D, BalaSubrahmanya MH (2019) Exploring the factors of cluster linkages that influence innovation performance of firms in a cluster[J]. Econ Innov New Technol 28(1):1–22

    Article  Google Scholar 

  • el Waatmani A (2018) Industrial clusters and promotion of CSR: the case of developing countries[J]. Journal of Academic Finance 9(2):69–80

    Google Scholar 

  • Götz M, Jankowska B (2017) Clusters and Industry 4.0–do they fit together? [J]. Eur Plan Stud 25(9):1633–1653

    Article  Google Scholar 

  • Guowu L, Bai GAO (2020) Globalization and domestic coping strategies: the development of china’s industrial clusters[J]. Istanbul University Journal of Sociology 40(2):625–647

    Google Scholar 

  • Hou B, Hong J, Wang H et al (2019) Academia-industry collaboration, government funding and innovation efficiency in Chinese industrial enterprises[J]. Technology Analysis & Strategic Management 31(6):692–706

    Article  Google Scholar 

  • Isaksen A, Trippl M (2017) Innovation in space: the mosaic of regional innovation patterns[J]. Oxf Rev Econ Policy 33(1):122–140

    Article  Google Scholar 

  • Jones C, Pimdee P (2017) Innovative ideas Thailand 4.0 and the fourth industrial revolution[J]. Asian International Journal of Social Sciences 17(1):4–35

    Article  Google Scholar 

  • Kuksa I, Shtuler I, Orlova-Kurilova O et al (2019) Innovation cluster as a mechanism for ensuring the enterprises interaction in the innovation sphere[J]. Management Theory and Studies for Rural Business and Infrastructure Development 41(4):487–500

    Google Scholar 

  • Lazzeretti L, Capone F, Caloffi A et al (2019) Rethinking clusters. Towards a new research agenda for cluster research[J]. Eur Plan Stud 27(10):1879–1903

    Article  Google Scholar 

  • Liu Z, Chen X, Chu J et al (2018) Industrial development environment and innovation efficiency of high-tech industry: Analysis based on the framework of innovation systems[J]. Technology Analysis & Strategic Management 30(4):434–446

    Article  Google Scholar 

  • Moradi M, ZandiPaak R (2023) The effect of companies’ participation or non-participation in the creation of industrial clusters on their innovation performance with an emphasis on the mediatory role of knowledge management[J]. Innovation Management Journal 5(1):1–28

    Google Scholar 

  • Novotná J, Novotný L (2019) Industrial clusters in a post-socialist country: The case of the wine industry in Slovakia[J]. Moravian Geographical Reports 27(2):62–78

    Article  Google Scholar 

  • Schot J, Steinmueller WE (2018) Three frames for innovation policy: R&D, systems of innovation and transformative change[J]. Res Policy 47(9):1554–1567

    Article  Google Scholar 

  • Sosnovskikh S (2017) Industrial clusters in Russia: The development of special economic zones and industrial parks[J]. Russian Journal of Economics 3(2):174–199

    Article  Google Scholar 

  • Sozinova AA, Okhrimenko OI, Goloshchapova LV et al (2017) Industrial and innovation clusters: Development in Russia[J]. Int J Appl Bus Econ Res 15(11):111–118

    Google Scholar 

  • Stavroulakis PJ, Papadimitriou S (2017) Situation analysis forecasting: the case of European maritime clusters[J]. Marit Policy Manag 44(6):779–789

    Article  Google Scholar 

  • Tödtling F, Trippl M (2018) Regional innovation policies for new path development–beyond neo-liberal and traditional systemic views[J]. Eur Plan Stud 26(9):1779–1795

    Article  Google Scholar 

  • Turkina E, Van Assche A (2018) Global connectedness and local innovation in industrial clusters[J]. J Int Bus Stud 49(6):706–728

    Article  Google Scholar 

  • Ugalde HO (2020) Local industrial agglomerations vis-à-vis global competitive networks: Marshallian notions of clusters, innovation and territorial development[J]. Economía y Sociedad 25(57):42–62

    Google Scholar 

  • Žižka M, Valentová V, Pelloneová N et al (2018) The effect of clusters on the innovation performance of enterprises: Traditional vs new industries[J]. Entrepreneurship and Sustainability Issues 5(4):780–794

    Article  Google Scholar 

Download references

Funding

This work is supported by the Philosophy and Social Science Planning Project of Fujian Province: Research on the Evolution Mechanism of Collaborative Innovation System of Strategic Emerging Industries in Fujian Province(Project No.: FJ2018MGCZ011), and the High-level talent scientific research start-up fund project of Fuzhou University of International Studies and Trade: Research on Evolution Mechanism of Chinese Strategic Emerging Industries Collaborative Innovation System(Project No.: FWB19002).

Author information

Authors and Affiliations

  1. Fuzhou University of International Studies and Trade, Fuzhou, 350202, Fujian, China

    Nan Ma

Authors
  1. Nan Ma
    View author publications

    You can also search for this author inPubMed Google Scholar

Contributions

NM contributed to designed the model, collected dataset, performed the analysis, validated the results, written and reviewed the manuscript.

Corresponding author

Correspondence to Nan Ma.

Ethics declarations

Conflict of interests

The authors declared that there is no conflict of interest.

Additional information

Communicated by Irfan Uddin.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ma, N. Analysis of industry convergence based on improved neural network. Soft Comput 26, 7437–7448 (2022). https://doi.org/10.1007/s00500-021-06439-0

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00500-021-06439-0

Keywords