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  • 标题:A method for aesthetic quality modelling of the form of plants and water in the urban parks landscapes: An artificial neural network approach
  • 本地全文:下载
  • 作者:Sahar Aboufazeli ; Ali Jahani ; Mehdi Farahpour
  • 期刊名称:MethodsX
  • 印刷版ISSN:2215-0161
  • 电子版ISSN:2215-0161
  • 出版年度:2021
  • 卷号:8
  • 页码:1-8
  • DOI:10.1016/j.mex.2021.101489
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis work presents a simplified method for the application of the Multi-Layer Perceptron (MLP) model that aims to predict the aesthetic quality of the landscape designed by water and plants in different forms and volume. The MLP was prepared by (Rosenblat) in the field of computer science, followed by the application of a MLP in landscape aesthetic quality prediction proposed by (Jahani). In the method of this research, the structure of MLP was structured for aesthetic quality prediction of plants and water in urban park landscapes. The accuracies of designed MLP structures were tested to achieve the most accurate one in aesthetic quality prediction. This method creates an environmental decision support system tool for landscape designers, and it is a platform to predict the quality of environment. In practice, the designed environmental decision support system tool is applied by landscape managers to predict the aesthetic quality of landscape in designing new urban parks.•Applies Multi-Layer Perceptron method in landscape assessment.•Accurate MATLAB extension for landscape aesthetic evaluation.•Defined criteria for aesthetic value of landscape.Graphical abstractDisplay Omitted
  • 关键词:Urban parks;Aesthetic;Landscape;Multi-layer perceptron;Artificial neural network
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