基于NeuroSolutions神经网络软件预测猪瘟发病风险

目的:猪瘟的发生严重影响生猪养殖业的经济效益,准确地预测猪瘟的发病率对猪场本身以及相关监测部门预防猪瘟具有较好的指导作用。方法:运用NeuroSolutions人工神经网络软件对龙岩市部分猪场的猪瘟发病率进行了拟合和预测。结果:表明预测模型具有较好的适应性,能够准确地用于猪瘟发病率的预测。结论:猪瘟发病率的预测对龙岩地区部分猪场猪瘟的预防具有一定的指导作用。

Predicting the risk of swine fever based on NeuroSolutions neural network software

Objective: The occurrence of classical swine fever seriously affects the economic benefits of pig farming, accurate prediction of the incidence of classical swine fever has a good guiding effect on the prevention of classical swine fever in pig farms and relevant monitoring departments. Methods: NeuroSolutions artificial neural network software was used to fit and predict the incidence of classical swine fever in some pig farms in Longyan city. Results: The results showed that the prediction model had good adaptability and could be used to predict the incidence of classical swine fever accurately. Conclusion: The prediction of the incidence of classical swine fever has a certain guiding role in the prevention of classical swine fever in some pig farms in Longyan area.