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Trend Prediction Method of Regional Innovation and Entrepreneurship Based on LSTM Neural Network

Bibo Fen, Lingli Zhang, Jia Wang, Weiming Zheng

Abstract


In order to ensure the sustainable and long-term development of enterprises in the future and give full play to the real value of prediction data, LSTM neural network is introduced to build a prediction model to predict the development level of enterprise innovation and entrepreneurship. To somewhere innovation entrepreneurship development trend forecast, for example, the application of LSTM model contrast traditional regression analysis and BP neural network model, found that LSTM neural network prediction effect is good, the basis of local innovation entrepreneurship development investment is good, and has a strong technical output level, innovation entrepreneurship development efficiency is signifi cant, can make up for innovation development of human resources investment, as the future innovative entrepreneurial development goals and the important reference of security policy.

Keywords


LSTM neural network; Innovation and entrepreneurship; Enterprise development; Forecast

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References


[1] Zhang J , Fu Y . Prediction Method of Innovation and Entrepreneurship Intention of Computer Majors Based on Artificial Intelligence Technology[J]. Journal of Physics: Conference Series, 2021, 1852(3):032011 (7pp).

[2] Wang W , Li X , Ding Y , et al. A Prediction Method of Trend-Type Capacity Index Based on Recurrent Neural Network[J]. The Journal of Quantum Computing (in English), 2021, 3(1):9.

[3] Zhou X , Kamruzzaman M M , Luo Y . Mathematical Model of Yield Forecast Based on Long and Short-Term Memory Image Neural Network[J]. IEEE Access, 2020, PP(99):1-1.




DOI: http://dx.doi.org/10.18686/ahe.v7i13.8521

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