Design of Investment Project Monitoring and Prediction System Integrating LSTM Neural Network
Keywords:
Investment project, Monitoring, LSTM network, Economic predictionAbstract
The existing investment project management focuses on approval and supervision, lacking real-time monitoring and trend prediction. The economic prediction of artificial intelligence is more prominent than the traditional statistical measurement methods. This paper designs an investment project monitoring and prediction system for big data analysis monitoring of investment projects and prediction by long short-term memory network (LSTM), constructs an LSTM prediction model for investment projects, realizes real-time multi-dimensional analysis monitoring of investment project approval data and matter handling data, and intelligent prediction of investment project growth. Through the verification of 385,000 project data, the project monitoring is accurate and efficient, and the project growth prediction effect is relatively ideal, providing effective data and method support for investment development trend prediction and promoting investment and stabilizing growth, and helping to improve the investment management department’s control and judgment of the macro economy and investment trends.
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Copyright (c) 2026 Hong Zhou, Chengwu Yao, Heng Chen
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