Trend Prediction Method of Regional Innovation and Entrepreneurship Based on LSTM Neural Network
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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DOI: http://dx.doi.org/10.18686/ahe.v7i13.8521
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