Subject matter price index generation and dynamic analysis method and system based on multi-source data fusion and AI prediction model

Abstract

The invention discloses a subject matter price index generation and dynamic analysis method and system based on multi-source data fusion and an AI prediction model, and belongs to the technical field of data analysis, and the method comprises the steps: collecting multi-source heterogeneous data, and carrying out the standardization preprocessing and multi-modal feature extraction; inputting the feature vectors into a fusion network based on an attention mechanism, and obtaining fusion feature representation by introducing real-time quality coefficient dynamic weighting; inputting the representation into a deep learning prediction network with a time sequence modeling capability, and outputting a price prediction value and a confidence interval; quantizing the contribution degree of each data source by adopting an interpretable AI algorithm, and generating a dynamic price index according to the contribution degree; and finally, updating the model through online learning and realizing early warning. According to the invention, the precision, reliability and interpretability of price prediction are effectively improved, and dynamic perception and intelligent risk management of the market situation are realized.

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