基于PSO-BP神经网络的城市综合管廊经济生态评价指标体系

Economical and Ecological Evaluation Index System of the Urban Utility Tunnel Based on PSO-BP Neural Network

城市综合管廊是保障城市可持续发展的重要基础设施之一,但国内建设起步较晚,也缺乏相应的评价指标体系。文章基于DPSIR框架模型构建了评价指标体系框架,利用BP神经网络计算指标权重及粒子群优化权重,构建了3个层次、5个维度、42个指标的城市综合管廊经济生态评价指标体系。文章以包头市新都市区综合管廊项目为例,验证该指标体系的可行性。结果表明,利用PSO-BP神经网络模型进行预测,最终仿真输出结果为72.181 08,说明该项目经济生态建设发展水平良好。

Urban utility tunnel is one of the most important infrastructures that ensures the sustainable development of cities,there is few evaluation index systems due to late development of urban utility tunnel construction in China. An economical and ecological evaluation index system of the urban utility tunnel,which contains three hierarchies,five dimensions and forty two indexes,was structured by establishing the elevation system framework based on DPSIR framework model,calculating index weights by BP neural and optimizing the weights by particle swarm algorithm. Taking the Xindu unban utility tunnel in Baotou as an example,it verified the feasibility of this evaluation index system. A prediction was taken by PSO-BP neural network model and the simulation output is 72.181 08, which shows good economical and ecological construction effect of this project.