Abstract

In order to explore the feasibility of applying neural network model to landscape planning, based on the multispecies evolutionary genetic algorithm, a neural network model is proposed in this paper for the system design of diverse plant landscape planning. From the perspective of plant species diversity, this paper discusses landscape planning based on a neural network model. This landscape plan involves more than 180 plant species, mainly shrubs, fungi, and so on. The application of multispecies evolutionary genetic algorithm to landscape planning and design and the application of gene level coding and multispecies parallel evolution strategy to the evolutionary design of neural network have guiding significance for plant landscape planning and design. Compared with the traditional neural network modeling method and genetic algorithm, the proposed method has the advantages of wide network structure search space and simple algorithm calculation and design, independent of specific application background, and has strong application and promotion value. This method makes the model performance evaluation index more comprehensive and accurate and the model solution more reasonable. At the same time, combined with the specific status and corresponding changes of various plants in each season, this paper designs a targeted plan to rationally plan the specific spatial layout of the plant landscape and the combination of different types of plant landscapes, so as to effectively improve the quality of the landscape.

Highlights

  • In order to explore the feasibility of applying neural network model to landscape planning, based on the multispecies evolutionary genetic algorithm, a neural network model is proposed in this paper for the system design of diverse plant landscape planning

  • Combining the specific status and corresponding changes of various plants in each season, a targeted plan is designed, which can adapt to different seasons and present plant landscapes of different colors, thereby enhancing the practicality and ornamentalness of plant landscapes. irdly, regarding space planning, from the perspective of space planning, plant landscape construction space usually occupies a large area in landscaped gardens [11]. erefore, it is necessary to reasonably plan the specific space layout of plant landscape and the collocation of different types of plant landscape to effectively improve the design quality of landscape architecture

  • It is necessary to adhere to the correct concept of plant landscape design, optimize the design strategy, and design diversified plant landscapes that are compatible with the local customs, geographical environment, climate, and geology

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Summary

Related Work

Since the concept of diverse plant landscape planning was proposed, scholars from different countries have conducted extensive discussions. E impacts of plant distribution and diversity on landscape planning were studied from landscape and local levels [17, 18]. Related scholars discussed how to build an animal and plant diversity protection system in the urban environment [19,20,21,22]. In the production of the program, we should pay enough attention to the reasonable layout of related landscape plants, the selection of plant types, the performance space of plants, and the coordination research with the surrounding areas, so as to improve the comprehensiveness and operability of the program design. Plant landscape design is to fully combine the various design elements of landscape architecture and comprehensive consideration, so as to get the optimal planning and design scheme. It is necessary to fully integrate the excellent cultural elements of traditional construction and design of landscape architecture. rough the proper collocation and reasonable selection of different plants, the cultural taste, practical effect, and aesthetic degree of landscape architecture can be effectively strengthened. is paper analyzes the diversity of plant landscape planning and hopes to be helpful to related workers

Diverse Plant Landscape Planning Based on Neural Network Model
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