油菜菌预报的人工神经网络方法

Artifivial Neural Network Approach to Prediction of Sclerotina Sclerotiorum in Winter Rape

运用人工神经网络，根据陕西省扶风县油菜菌核病的多年资料，建立了该种农作物疾病流行趋势预测的计算机智能专家系统，预测成功率１００％。该方法性能良好，可望成为农作物疾病流行趋势预报的有效辅助手段。

The artificial neural network was applied to establish the computer intelligential expert system forprediction of epidemil trend of sclerotinia sclerotiorum based on the information of this diseases formany years in Fufeng county. The successful rate reached 100％. The results showed that the perfor-mance of the neural network approach is good, and therefore it might be referred as an effective assis－tant technique for prediction of epidemil trend of plants.