Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

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Enhance the Innovation Capacity of the Industrial Chain by Effective Technology Investment Based CNN Prediction

Authors
Linglan Fu1, Jinlong Su2, *
1Quanzhou institute of information engineering, Fujian Open University Quanzhou branch, Quanzhou, China
2TSL School of Business, Quanzhou Normal University, Quanzhou, China
*Corresponding author. Email: su_jinlong@hotmail.com
Corresponding Author
Jinlong Su
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_32How to use a DOI?
Keywords
Industrial Chain; Technology investmen; Chaotic Neural Network
Abstract

This paper analyzes the main problems and difficulties faced by private enterprises in Fijian Province, and discusses the countermeasures to effectively speed up the transformation and upgrading of private enterprises through multiple field investigations inside and outside the province. Through in-depth analysis and research, the research group puts forward corresponding countermeasures, that is, accelerating the supply side structural reform, and strive to provide useful policy suggestions for accelerating the transformation and upgrading of private enterprises in Fujian Province. Moreover, the research group uses the Chaotic Neural Network optimization algorithm, which is actually an improved Hopfield Network (CNN) to analyze and predict the existing economic development data and science and technology investment data, hoping to play a certain guiding role in the government's science and technology investment budget.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
978-94-6463-102-9
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_32How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Linglan Fu
AU  - Jinlong Su
PY  - 2022
DA  - 2022/12/29
TI  - Enhance the Innovation Capacity of the Industrial Chain by Effective Technology Investment Based CNN Prediction
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 287
EP  - 299
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_32
DO  - 10.2991/978-94-6463-102-9_32
ID  - Fu2022
ER  -