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. © 2009 Springer Science+Business Media, LLC.
CITATION STYLE
Wang, H., Gong, D., Xiao, J., Zhang, R., & Li, L. (2009). One prediction model based on BP neural network for newcastle disease. In IFIP International Federation for Information Processing (Vol. 294, pp. 1209–1216). Springer Science and Business Media, LLC. https://doi.org/10.1007/978-1-4419-0211-5_49
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