Design of Landscape Plant Configuration Based on ANN Technology

Abstract

With the support of GIS, the BP network model of landscape plant morphological fractal dimension and diversity index based on the composition structure of landscape elements was constructed by using artificial neural network (ANN). By comparing the model performance of training samples, the results show that the diversity index and fractal dimension fitting accuracy of the training model are high, which shows that the training model constructed in this study is in line with the theoretical and practical values. At the same time, through the multi-dimensional and diversity index test of the test samples, the results show that the test accuracy of BP model meets the requirements, indicating that the convergence performance of garden plant configuration design network based on ANN technology is ideal, and can better simulate the impact of ecological environment on landscape plant configuration pattern.