[1]王增彬,迟恒智.基于BP神经网络的济南市建设用地规模预测[J].水土保持研究,2007,14(05):245-246,250.
　WANG Zeng-bin,CHI Heng-zhi.Prediction of Urban Building Land in Jinan Based on ANN Model[J].Research of Soil and Water Conservation,2007,14(05):245-246,250.
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基于BP神经网络的济南市建设用地规模预测

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 14 期数: 2007年05期 页码: 245-246,250 栏目: 出版日期: 1900-01-01
Title:
Prediction of Urban Building Land in Jinan Based on ANN Model
作者:
王增彬, 迟恒智
山东济南市国土资源局, 济南 250014
Author(s):
WANG Zeng-bin, CHI Heng-zhi
The Bureau of Land Resources, Ji’nan 250014, China
关键词:
BP神经网络; 建设用地; 济南
Keywords:
ANN model; urban building land; Ji’nan city
分类号:
F293.2;TU984
摘要:
随着经济的发展，城市建设用地面积呈迅速扩张的趋势，其增长受社会、经济、人口等多种因素的影响。运用主成分分析法对济南市建设用地变化的驱动力进行分析，人口和GDP是影响建设用地面积的主要驱动因素，通过建设用地驱动因子的人工神经网络模型，预测出2010年和2020年济南市建设用地的面积需求状况。
Abstract:
Urban building land is on the trend of rapid expanding with the development of economy.The increase of urban building land is affected by many factors such as socity,economy,population.The driving forces of the change in urban building land are analyzed by using the main factor analysis,and population and GDP are found as the main driving force.Therefore,the ANN model is used to forecast the requirement of urban building land in Ji’nan.

参考文献/References:

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备注/Memo

收稿日期:2006-9-2。
基金项目:济南市土地利用总体规划修编项目（2004-ZD-01）
作者简介:王增彬（1968- ），男，山东武城县人，硕士，主要从事土地利用、资源等研究。

更新日期/Last Update: 1900-01-01