从使用神经网络模型对农业机械化水平的模拟结果来看,模型具有较高的精度,使用该模型对农机化水平进行预测,预测值和实测值也具有较好的线性拟合关系。为此,利用该模型对未来或当前的农机化水平进行了预测。该模型具有较高的精度,预测值和实测值也具有较好的线性拟合关系;但模型的泛化能力会受到数据采集条件制约。 From the simulation results of agricultural mechanization level using neural network model, the model has high precision. Using this model to predict the level of agricultural mechanization, the predictive value and measured value also have good linear fitting relationship. To this end, the model is used to predict the future or current level of agriculturalization. The model has high accuracy, and the predicted value and the measured value also have a good linear fitting relationship; but the generalization ability of the model is constrained by the data collection conditions.