摘要
经济因素相关分析法是城市化水平预测领域较常使用的方法之一。然而,由于经济发展与城市化发展水平之间相互关系的作用模式较为复杂,传统的预测方法在实际应用时往往难以取得较为理想的预测效果。本文拟运用BP神经网络模型在这一领域进行新的尝试。
The economic factor forecasting method is one of the most frequently used method in the field of urbanization level forecasting. However, on the reason that the relationship between urbanization development and economic growth is very complex, the ideal forecasting effect may not be obtained when the traditional economic factor forecasting method is put into practice, in this paper, the authors try to make a new trial in this field on the basis of BP Neural Network Model.
出处
《人口与经济》
CSSCI
北大核心
2006年第6期3-8,共6页
Population & Economics
关键词
城市化
预测
BP神经网络模型
urbanization
forecasting
BP Neural Network Model
