2022
DOI: 10.7753/ijsea1111.1008
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Landscape Design under the Influence of Digitalization

Abstract: Landscape design under the influence of digitalization is studied in the paper. The ultimate purpose of environmental design is to apply social, economic, artistic, technological, political and other comprehensive means to meet the needs of people's existence and development in the urban environment. The artistic image generation of forest landscape is in its various constituent elements and space with its own laws of formal beauty. The interplay of different elements as the interweaving and fusion of differen… Show more

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“…A large number of landslide-monitoring systems, including the National Cryosphere Desert Data Center (NCDC), have also been established around the world [14] . With these data centers, researchers have been able to brainstorm IT technologies and mathematical models for landslide prediction, mainly including support vector machine (SVM) [15,16] , extreme learning machine (ELM) [17,18] , artificial neural network (ANN) [19] , radial basis function neural network (RBF) [2,20] convolutional neural network (CNN) model [21,22] , grey system prediction model [23] , Markov model [24,25] . In addition, some researchers have attempted to decompose displacement based on time series theory and reconstruct landslide displacement [26,27] .…”
Section: Introductionmentioning
confidence: 99%
“…A large number of landslide-monitoring systems, including the National Cryosphere Desert Data Center (NCDC), have also been established around the world [14] . With these data centers, researchers have been able to brainstorm IT technologies and mathematical models for landslide prediction, mainly including support vector machine (SVM) [15,16] , extreme learning machine (ELM) [17,18] , artificial neural network (ANN) [19] , radial basis function neural network (RBF) [2,20] convolutional neural network (CNN) model [21,22] , grey system prediction model [23] , Markov model [24,25] . In addition, some researchers have attempted to decompose displacement based on time series theory and reconstruct landslide displacement [26,27] .…”
Section: Introductionmentioning
confidence: 99%