An Intelligent Prediction for Sports Industry Scale Based on Time Series Algorithm and Deep Learning

Table 1

The time-domain characteristics of the sample sequences.

Time-domain feature	Index	Computing method
Trend	T trend	Regression is performed on the moving average
Seasonal fluctuation	S season	Observations in the same phase during different periods
Autocorrelation	Huest index	Using heavy range regression to find H
Chaos	Punovo exponent	Iterative ratio solution