Forecasting the Plough Area Perpower of Farm Crop Cultivation Based on Artificial Neural Network
人工神经网络模型在种植业劳均耕地面积预测中的应用

The paper successfully makes the time series be the model couples of input and output of artificial neural network, and so suggests the forecasting model about plough area perpower of farm crop cultivation by using artifical neural network model, and provides a data proceding method and new Back\|Propagation Algorithm based on this model. At last forecastes the plough area perpower of farm crop cultivation of Xisan unit in Jilin Province, the forecasting values are creditable, the largest relative difference between forecasting value and original value is 3 8%. It verifies the model and its data proceding method are scientific.