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Optimizing deep learning and neural network to explore enterprise technology innovation model

  • S.I. : DPTA Conference 2019
  • Published:
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Abstract

The technological innovation capabilities of enterprises have a greater impact on regional economic development, and the evaluation of technological innovation capabilities of enterprises has a certain guiding role in the formulation of regional economic development plans. From the current situation, it can be seen that the technological innovation model of enterprises is affected by various factors. Based on deep learning and neural network technology, this research takes a high-tech park as an example to comprehensively evaluate the innovation ability of the high-tech park. The use of predicted values in some evaluation indicators can better reflect the innovation ability. At the same time, this research uses the historical GDP data of the park to predict future values and uses the predicted values as indicators of innovation ability. Finally, the idea of combined forecasting is used to comprehensively evaluate the technological innovation capability of enterprises. The research results show that the method proposed in this paper has certain predictive power, can provide guidance for regional economic development, and can provide theoretical references for subsequent related research.

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Authors and Affiliations

  1. School of Business, Nanjing Normal University, Nanjing, 210046, Jiangsu, China

    Zhen Zhen

  2. CDP Group Limited, Shanghai Global Headquarter, Shanghai, 100005, China

    Yanqing Yao

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  1. Zhen Zhen
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  2. Yanqing Yao
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Correspondence to Zhen Zhen.

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Zhen, Z., Yao, Y. Optimizing deep learning and neural network to explore enterprise technology innovation model. Neural Comput & Applic 33, 755–771 (2021). https://doi.org/10.1007/s00521-020-05106-z

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  • DOI: https://doi.org/10.1007/s00521-020-05106-z

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