基于SOM的小城镇土地集约利用评价——以重庆市渝北区为例

Evaluation of the Intensive Urban Land Utilization Based on the SOM——A Case of Yubei District of Chongqing City

人工神经网络是一种具有学习、记忆、计算和仿真等功能的网络结构。以重庆市渝北区为研究区域,以各乡镇为评价样本,选取10个反映小城镇土地集约利用的指标,采用Matlab建立小城镇土地集约利用评价的SOM模型。结果表明:SOM模型预测精度很高,计算结果与实际情况相符。说明利用SOM模型来评判小城镇土地集约利用水平具有很好的实用价值。

Artificial neural network is characterized as a network possessing functions of learning, memory, calculation and emulation. SOM network is one kind of artificial neural networks, which has been applied on a lot of engineering fields at present. The SOM network model was established with the Matlab. Ten indices were chosen in Yubei district of Chongqing City as the net input layer, and some samples were used to train the network. The results showed that the SOM network had the advantage of high accuracy and the results accorded with the actual condition. So it has profound practical value to use SOM network evaluate the intensive urban land utilization.