一种BP神经网络气象预测中的应用研究

A BP Neural Network Meteorological Prediction

针对历年长江流域的小麦赤霉病发病的气象指标和统计资料,应用改进型的BP神经网络建立了该地区流域的小麦赤霉病发病的预报模型。实验证明,该改进型的算法利用为变梯度反向传播算法和强大的函数映射的特征,可以建立符合小麦赤霉病发病的气象预报模型,为小麦赤霉病地研究提供科学依据,对指导农业工作具有一定的应用意义。

in this paper,over the years in the Yangtze River basin the meteorological index of wheat scab disease and statistical data,the application of improved BP neural network in this area was established in wheat scab disease forecast model,experiments show that,the improved algorithm using variable gradient backpropagation algorithm and the powerful function that maps the feature,can be established in line with wheat scab disease meteorological forecast model for wheat scab,and provide a scientific basis for agricultural work,has certain practical significance.