BP神经网络在许昌土壤墒情预测模型的应用

BP Neural Network in Xuchang Soil Moisture Prediction Model

为了科学指导农业灌溉和抗旱救灾,通过采用BP神经网络方法,研究许昌现有土壤墒情经验分析模型,建立了许昌土壤墒情预测模型并结合许昌多年的土壤水分实测数据和气象资料进行误差分析,结果表明BP神经网络模型可较好地应用于许昌土壤墒情分析和预测,对于不同条件的地区具有较好的适应性和推广应用价值。

Scientific guidance for agricultural irrigation and drought relief, by using BP neural network method to study soil moisture Xuchang existing empirical analysis model, the establishment of soil moisture prediction model Xuchang years of combined soil moisture measured data and meteorological data error analysis. The results showed that, BP neural network model could be applied to better analyze and predicted soil moisture Xuchang, for different conditions of the region had better adaptability and application value.