基于层次分析法和人工智能技术的乡村景观设计效果评估

Rural landscape design effect evaluation based on AHP and AI

为研究乡村景观资源并分析景观问题,提出基于层次分析法和人工智能技术的乡村景观设计效果评估方法。以门头沟为例,通过层次分析法构建乡村景观设计效果评估指标体系并确定指标权重,采用基于人工智能技术的BP神经网络构建乡村景观设计效果评估模型,从目标层、项目层及指标层三方面指标评估乡村景观设计效果。结果表明:该方法可有效评估研究区乡村景观设计效果,其中指标层评估值在0.4~0.64之间,综合评估为优,目标层的综合评估分值是0.60,设计效果为优,项目层的承载力与吸引力综合评估均较优,说明研究区在开展乡村旅游方面潜力与条件充足;该方法误差变化趋势较为平稳,整体相对误差低,说明该方法具有较高的准确性与理想性,可为乡村景观资源问题的分析及设计效果评估奠定基础。

In order to study rural landscape resources and analyze related problems, an evaluation method of rural landscape design effect based on AHP(analytic hierarchy process) and AI(artificial intelligence) is proposed. Mentougou is taken as an example for this research. On the basis of AHP,the evaluation index system of rural landscape design effect is established and the index weight is determined,the evaluation model of rural landscape design effect is established by AI-based BP neural network,and the rural landscape design effect is evaluated from indexes of target layer,project layer and index layer.The results show that this method can effectively evaluate the rural landscape design effect of the research area. The evaluation value of index layer is within 0.4~0.64,and its comprehensive evaluation is excellent;the comprehensive evaluation score of the target layer is 0.60,and its design effect is excellent;the comprehensive evaluation of both the carrying capacity and attraction of the project layer is good. The above shows that the research area has sufficient potential and conditions for developing rural tourism. The error change trend of the method is relatively stable and the overall relative error ratio is low,which indicates that the method is of high accuracy and ideality,and can lay a foundation for analysis of rural landscape resource problems and evaluation of design effect.