期刊论文

An Evaluation Model of Urban Land Sustainable Use Based on Artificial Neural Network --With Wuhan City as an example

中文

国土资源科技管理

1009-4210

2004

21

5

21-25

10.3969/j.issn.1009-4210.2004.05.005

湖北省自然科学基金项目资助（232259）；

本校为第一机构

城市土地可持续利用是一个多因素相互作用的过程,要建立一个既简单又能反映城市土地可持续利用的普遍规律的评价方法难度很大,而传统的评价方法又不同程度地存在着人为的痕迹.以武汉市为例,基于人工神经网络的城市土地可持续利用理论和基本思路,构建城市土地可持续利用评价的反向误差传播(BP)模型,结果表明与武汉市实际情况是相符的,证明该方法具有很强的实际应用价值.

Urban land sustainable use is an interactive process of multi-factors. It is difficult to establish an evaluation model which is simple and can reflect the law of the urban land sustainable use, while traditional evaluation models have involved some man-made factors. By applying the theory and ideas of urban land sustainable use based on artificial neural network, this paper sets up a back-propagation (BP) network for the evaluation of urban land sustainable use, with Wuhan City as an example, which corresponds to the actual con...