The study of Peony florescence based on improving BP algorithm

Heze International Peony Fair develops the local economy, But subject to weather conditions, predicting peony florescence hardly meets the actual date. In order to accurate predicting, multiple linear regression analysis and multiple nonlinear regression analysis have been mentioned. The relationship of the factors which impact the peony florescence such as light, temperature and moisture, etc, is nonlinear, therefore, we adopt the improved BP algorithm and attempts to build prediction models of Peony florescence. Experimental results show that the improved BP algorithm results in Peony than traditional forecasting methods are obviously improved.