人工神经网络模型在种植业劳均耕地面积预测中的应用

利用人工神经网络建立了具有时间序列的对象的预测模型 ,并提出了基于本模型的数据处理方法 ,在此基础上 ,对吉林省榆树县大坡镇西山村的种植业劳均耕地面积作了预测 .证实了本模型的正确性和科学性.

Forecasting the Plough Area Perpower of Farm Crop Cultivation Based on Artificial Neural Network

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.