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 relationshi...

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Bibliographic Details
Published in2012 International Conference on Systems and Informatics pp. 2675 - 2678
Main Authors Ping Wang, Haiyang Xu, Wenshan Cui
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2012
Subjects
Algorithm design and analysis
Forecast model
Improveing BP Algorithm
Land surface temperature
Peony Florescence
Prediction algorithms
Predictive models
Temperature distribution
Training
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Summary: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.
ISBN:9781467301985
1467301981
DOI:10.1109/ICSAI.2012.6223605