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Recent Developments and New Direction in Soft-Computing Foundations and Applications pp 477–486Cite as

Neural Network-Based Approach for Design and Modeling Evolution Processes of Economic Clusters

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 342))

Abstract

We present here the new approach for design and modeling evaluation of economic clusters based on artificial neural networks platform. We show here the basic principles and discuss the application of the approach for Hopfield networks.

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References

  1. Klimova, N., Litvintseva, M.: Universities innovation clusters: approaches for national competitiveness paradigm. Eur. J. Soc. Sci. 19(1), 160–162 (2011)

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Acknowledgments

The reported study was funded by RFBR according to the research project № 16-06-00300 а.

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Authors and Affiliations

  1. Intrafab Pte. Ltd, 120 Lower Delta Road #09-07 Cendex Centre, Singapore, 169208, Singapore

    E. A. Babkin, N. A. Klimova & O. R. Kozyrev

Authors
  1. E. A. Babkin
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  2. N. A. Klimova
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  3. O. R. Kozyrev
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Corresponding author

Correspondence to E. A. Babkin .

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Editors and Affiliations

  1. University of California, Berkeley, USA

    Lotfi A. Zadeh

  2. Tech. of the Republic of Azerbaijan, Ministry of Communications Info., Baku, Azerbaijan

    Ali M. Abbasov

  3. Machine Intelligence Institute, New Rochelle, New York, USA

    Ronald R. Yager

  4. Azerbaijan Technical University, Baku, Azerbaijan

    Shahnaz N. Shahbazova

  5. University of Alberta, Edmonton, Alberta, Canada

    Marek Z. Reformat

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© 2016 Springer International Publishing Switzerland

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Babkin, E.A., Klimova, N.A., Kozyrev, O.R. (2016). Neural Network-Based Approach for Design and Modeling Evolution Processes of Economic Clusters. In: Zadeh, L., Abbasov, A., Yager, R., Shahbazova, S., Reformat, M. (eds) Recent Developments and New Direction in Soft-Computing Foundations and Applications. Studies in Fuzziness and Soft Computing, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-319-32229-2_33

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  • DOI: https://doi.org/10.1007/978-3-319-32229-2_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32227-8

  • Online ISBN: 978-3-319-32229-2

  • eBook Packages: EngineeringEngineering (R0)

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