Evaluation of the Effect of Rural Landscape Design Based on Hierarchical Analysis and Artificial Intelligence Technology

Abstract

In order to study rural landscape resources and analyze landscape problems, the effect evaluation method of rural landscape design based on hierarchical analysis method and artificial intelligence technology is proposed. Taking a rural landscape as an example, the evaluation index system of rural landscape design effect is constructed through hierarchical analysis and the index weight is determined. BP neural network based on artificial intelligence technology is used to construct the rural landscape design effect evaluation model, and the rural landscape design effect is evaluated from three aspects: target layer, project layer and index layer. The results show that this method can effectively evaluate the design effect of rural landscape in the study area, in which the index layer is between 0.4 and 0.64, the comprehensive evaluation is excellent, the comprehensive evaluation score of the target layer is 0.60, the design effect is excellent, the bearing capacity and attraction are excellent, indicating that the research area is sufficient; the error trend is stable and the overall relative error is low, indicating that the method has high accuracy and ideal, and lays a foundation for the analysis and evaluation of rural landscape resources.