Title :
A new forecasting method for peony florescence based on BP network
Author :
Wang, Ping ; Xu, Haiyang ; Cui, Wenshan
Author_Institution :
Dept. of Sci. & Inf., Qingdao Agric. Univ., Qingdao, China
Abstract :
ShanDong Heze International Peony Fair is an important to local development, But peony florescence hardly meets the date of the Fair. How to accurately predict the peony florescence is very urgent. Based on the analysis of the relationship between the peony florescence and the temperature. A prediction model for peony florescence built on the air temperature and soil temperature by BP network. The prediction model was validated by the florescence data in the last 5 years. The maximal error was 4 days. The model could provide the prediction method to determine the date of the Heze International Peony Fair.
Keywords :
backpropagation; botany; neural nets; BP network; ShanDong Heze international peony fair; air temperature; forecasting method; peony florescence; soil temperature; Atmospheric modeling; Neurons; Predictive models; Soil; Temperature distribution; Training; BP network; Forecast method; Peony Florescence;
Conference_Titel :
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4673-0198-5
DOI :
10.1109/ICSAI.2012.6223508
