Research on AI economic cycle prediction method based on big data

In this paper, based on the big data-driven economic cycle feature extraction method, an intelligent prediction model integrating Bi-LSTM, attention mechanism and Transformer architecture is constructed, and the performance of the model is enhanced by data preprocessing, feature engineering and hyperparameter optimization. The results show that the method outperforms traditional methods in trend identification, prediction accuracy and robustness, and is able to capture economic cycle inflection points more effectively. The applicability and reliability of the proposed method are verified by error analysis and model stability test.