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基于BP神经网络的城市土地集约利用评价——以湖北省鄂州为例
引用本文:常胜,李江风.基于BP神经网络的城市土地集约利用评价——以湖北省鄂州为例[J].矿产资源开发,2010(2).
作者姓名:常胜  李江风
作者单位:中国地质大学资源学院;湖北民族学院生物科学与技术学院;
摘    要:传统土地集约利用评价方法受人的主观因素影响较大,评价结果不够准确。采用人工神经网络进行土地集约利用评价,可简化评价过程,避免主观影响。本文建立城市土地集约利用评价的BP神经网络模型,并以湖北省鄂州为例,进行城市土地利用集约评价,网络输出结果显示:鄂州城市土地利用处于中等集约水平。该评价结果与鄂州城市土地利用实际情况相一致。

关 键 词:城市土地集约利用评价  BP神经网络  鄂州  

A CASE STUDY ON EZHOU: EVALUATION OF URBAN INTENSIVE LAND UTILIZATION BASED ON BP NEURAL NETWORKS
CHANG Sheng,LI Jiang-feng.A CASE STUDY ON EZHOU: EVALUATION OF URBAN INTENSIVE LAND UTILIZATION BASED ON BP NEURAL NETWORKS[J].Resources·Industries,2010(2).
Authors:CHANG Sheng    LI Jiang-feng
Affiliation:CHANG Sheng1,2,LI Jiang-feng1(1.School of Resources,China University of Geosciences,Wuhan 430074,China,2.School of Biological Science , Technology,Hubei Institute for Nationalities,Enshi 445000,China)
Abstract:The traditional evaluation methods of intensive land utilization are highly influenced by subjective factors,thus the evaluation results are not accurate enough.This paper sets up the BP neural network model of urban intensive land utilization evaluation to study urban land utilization of Ezhou,Hubei.The results show that urban land utilization of Ezhou is at medium intensive level,which is consistent with the actual land utilization in Ezhou.
Keywords:evaluation of urban intensive land utilization  back-propagation neural networks  Ezhou Municipal  
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