摘要
福建省耕地严重短缺,人均占有耕地面积较小.随着经济的发展,人均占有耕地资源将进一步减少.针对这一现象,本文运用BP神经网络对福建省历年耕地面积进行拟合,建立预测模型,结果表明模拟效果理想.
Cultivated land is in serious shortage, and its average level is too low in Fujian Province. With the development of economy, the per-capita cultivated land resources will he more and more reduced. In response to this fact, we used BP neural network to fit the areas of cultivated land in past years, then a prediction model was set up. It showed that simulation results were ideal.
出处
《福建农林大学学报（自然科学版）》
CSCD
北大核心
2008年第4期425-427,共3页
Journal of Fujian Agriculture and Forestry University:Natural Science Edition
基金
福建农林大学青年教师基金(06B13)
福建省自然科学基金资助项目(2001F007
B0410019)
关键词
福建省
耕地
神经网络
Fujian Province
cultivated land
artificial neural network
