Tourism demand prediction method and system based on empirical mode decomposition and artificial intelligence model

The invention relates to the technical field of artificial intelligence, and provides a tourism demand prediction method based on empirical mode decomposition and an artificial intelligence model, which comprises the steps of S1-S5, for a historical tourist volume data sequence of a tourist attraction, adopting empirical mode decomposition to form N groups of mode component IMF, and constructing a space-time diagram convolution model, a first high-order feature and a second high-order feature are extracted respectively, and feature interaction is increased by improving feature dimensions. And extracting a low-dimensional time feature by adopting a gating circulation unit, respectively inputting the first high-order feature, the second high-order feature and the low-dimensional time feature into a Transform model and a long-short-term memory network model, calculating first prediction data and second prediction data, and carrying out weighted calculation to obtain third prediction data. The invention further p