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Prediction of the real estate industry economics based on LSTM model
Author(s) -
Taoen Zhang,
Baojun Fang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1802/4/042095
Subject(s) - real estate , computer science , test (biology) , error correction model , econometrics , economics , artificial intelligence , finance , cointegration , paleontology , biology
The economics of real estate industry has been seriously affected by the 2019-NcoV. Therefore, this study analyzed the changes of real estate industry and LSTM model was applied to predict the price of real estate industry. The error analysis was done to test the accuracy of model and the result indicated the model established in this paper has high accuracy and meaningful for practical application.