基于BP人工神经网络的小城镇生态规划研究——以梅河口市中和镇为例

ECOLOGICAL PLANNING FOR SMALL TOWN BASED ON BP ARTIFICIAL NEURAL NETWORKS——TAKING ZHONGHE TOWN OF MEIHEKOU CITY AS AN EXAMPLE

试图将人工神经网络方法引入生态规划,采用BP(Back-Propagation)神经网络建立生态适宜度评价模型,并用于实际的生态适宜度分析中,从而为生态规划提供一种新的方法。对案例区梅河口市中和镇生态健康水平进行评价,结果显示:中和镇生态现状处于亚健康水平。从生态规划学理论和神经网络模型出发,以梅河口市中和镇实际调查数据为基础,利用MATLAB7.0软件建立生态适宜度分析模型。利用建立的评价模型对中和镇的生态适宜性进行评价。根据生态适宜性评价结果和生态健康水平提出中和镇生态区划方案。

In this paper,artificial neural network（ANN）,a computational model,was introduced into ecological planning.A ecological suitability evaluation model was developed by using（Back-Propagation）ANN and used in practical assessment.In this paper,based on the previous studies,the level of ecological health in Zhonghe town,Meihekou city,was evaluated firstly.The result showed that the ecological status of Zhonghe town was at the level of sub health.And then,with the help of MATLAB7.0,a suitability evaluation model,its data obtained by actual investigation,was developed based on ANN model and ecological planning theory.Finally,comprehensively considering the result of ecological suitability evaluation and the level of ecological health,ecological regional division program of Zhonghe town was brought forward.