Application Analysis of Forecasting Model Based on BP Neural Network Algorithm

With the development of big data technology, the hotel industry has also entered the era of big data. The imbalance between supply and demand in the hotel industry will directly affect the hotel's operating conditions. This paper uses the BP neural network algorithm to predict the hotel's demand analysis and reservation rate, and establishes a prediction model based on the BP neural network algorithm through the two variables of reservation time and consumption time. Investors can make better decisions, thereby increasing hotel revenue.