【摘要】 针对雨量预报问题,建立基于神经网络的数学模型.首先采取“消除噪声”的方式对所给的数据进行处理,得到所需的目标数据,然后运用L-M优化算法对各观测站点进行模拟,得到各观测站点的预测值,计算出91个观测站点的预测值和其实测值之间的累积误差.更多还原

【Abstract】 This paper establishes mathmatic model of raining forecast based on nerve net.Firstly,we treated the data by the method of "removing noise",and then simulated every observing station by L-M calculation to get and calculate the accumulated error between the calculating data and the actual data in 91 observing stations.更多还原