<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper uses nonlinear dynamic system thinking to evaluate the ecological environment of landscaping. In this paper, the mathematical models of landscape dimension, fragmentation index, diversity index, and aggregation index are constructed using an artificial neural network combined with a fuzzy C-means (FCM) clustering nonlinear thinking system. In the end, this paper plans and evaluates the ecological environment of S city. Through the analysis of the model, it is verified that the nonlinear artificial neural network system combined with fuzzy C-means (FCM) clustering proposed in this paper is an effective method for forest landscape planning and evaluation. The scope and feasibility of this method are high.</p>
</abstract>

This paper uses nonlinear dynamic system thinking to evaluate the ecological environment of landscaping. In this paper, the mathematical models of landscape dimension, fragmentation index, diversity index, and aggregation index are constructed using an artificial neural network combined with a fuzzy C-means (FCM) clustering nonlinear thinking system. In the end, this paper plans and evaluates the ecological environment of S city. Through the analysis of the model, it is verified that the nonlinear artificial neural network system combined with fuzzy C-means (FCM) clustering proposed in this paper is an effective method for forest landscape planning and evaluation. The scope and feasibility of this method are high.

Garden Landscape Construction Based on Landscape Urbanism and Dynamic Nonlinear System Thinking

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper uses nonlinear dynamic system thinking to evaluate the ecological environment of landscaping. In this paper, the mathematical models of landscape...

Garden Landscape Construction Based on Landscape Urbanism and Dynamic Nonlinear System Thinking

Pubblicato online: 28 apr 2023

Pagine: 2985 - 2994

Ricevuto: 13 gen 2022

Accettato: 05 lug 2022

DOI: https://doi.org/10.2478/amns.2023.1.00023

Parole chiave
Landscape ecology, Dynamic nonlinear system, Artificial neural network, Fuzzy C-means clustering, Landscape planning

© 2023 Wenlong Yu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Garden Landscape Construction Based on Landscape Urbanism and Dynamic Nonlinear System Thinking

Pubblicato online: 28 apr 2023

Pagine: 2985 - 2994

Ricevuto: 13 gen 2022

Accettato: 05 lug 2022

DOI: https://doi.org/10.2478/amns.2023.1.00023

Parole chiaveLandscape ecology, Dynamic nonlinear system, Artificial neural network, Fuzzy C-means clustering, Landscape planning

© 2023 Wenlong Yu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Landscape ecology, Dynamic nonlinear system, Artificial neural network, Fuzzy C-means clustering, Landscape planning