基于神经网络的水稻产量预测模型

The forecasting model of rice yield based on the bp model

研究不同水分处理所得的作物实际产量，建立前馈神经网络模型，得到不同土壤含水量时的旱作水稻预测经济产量，模型通过学习，使误差减小到0.1。

It was studied of the dry cultivation rice yield under different water levels, through the construction of BP model, the forecasting economic yield under different soil water content was gotten. The error was reduced to 0.1 through the studying of many times.