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中文摘要: 通过普查北半球500hPa、100hPa、北太平洋海温与山东省春季降水量的相关，选取相关信度达到0．05的相关区作为预报因子，利用BP（反向传播）人工神经元网络建立山东省春季降水量预报模型，并投入业务运用。结果表明，BP人工神经元网络具有较好的预报效果。
中文关键词: 人工神经元网络,反向传播,春季降水,长期预报
Abstract:The correlation coefficient of Northern Hemisphere 500hPa,100hPa and North Pacific Sea Surface Temperature with spring rainfall in Shandong province are calculated,the predictors with correlation significance level equaled to 005 are selected.A forecast model of spring rainfall in Shandong province is established by BP artificial neural network,and used to vocational work.The results show that forecasts of BP artificial neural network are good.
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引用文本：
汤子东,郑世芳,奚秀芬,1997.BP人工神经元网络在春季降水量预报中的应用[J].气象,23(8):34-37.
,1997.The Application of BP Artificial Neural Network in Spring Rainfall Forecast in Shandong Province[J].Meteor Mon,23(8):34-37.
汤子东,郑世芳,奚秀芬,1997.BP人工神经元网络在春季降水量预报中的应用[J].气象,23(8):34-37.
,1997.The Application of BP Artificial Neural Network in Spring Rainfall Forecast in Shandong Province[J].Meteor Mon,23(8):34-37.