ONE PREDICTION MODEL BASED ON BP NEURAL NETWORK FOR NEWCASTLE DISEASE

Autor:	Duqiang Gong, Lin Li, Hongbin Wang, Ru Zhang, Jianhua Xiao
Rok vydání:	2009
Předmět:	Correlation Coefficient of determination Key factors Artificial neural network biology Statistics Animal disease biology.organism_classification Predictive value Newcastle disease Mathematics
Zdroj:	IFIP Advances in Information and Communication Technology ISBN: 9781441902108 CCTA (2)
DOI:	10.1007/978-1-4419-0211-5_49
Popis:	The purpose of this paper is to investigate the correlation between meteorological factors and Newcastle disease incidence, and to determine the key factors that affect Newcastle disease. Having built BP neural network forecasting model by Matlab 7.0 software, we tested the performance of the model according to the coefficient of determination (R2) and absolute values of the difference between predictive value and practical incidence. The result showed that 6 kinds of meteorological factors determined, and the model’s coefficient of determination is 0.760, and the performance of the model is very good. Finally, we build Newcastle disease forecasting model, and apply BP neural network theory in animal disease forecasting research firstly.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6b4e45bc20e3a175f102f3986dda947b https://doi.org/10.1007/978-1-4419-0211-5_49 Zobrazit plný text záznamu