Abstract

Parametric design, driven by digital technology, has sparked extensive research and debate in the domains of architecture and urban planning, offering a new approach to issue solving. Architecture and landscape architecture, like architecture and urban planning, are disciplines that are part of the artificial environment. Architectural landscape design has begun to be influenced by parametric design. This study presents a more technical parametric design technique of architectural landscape design that involves artificial intelligence parametric analysis and proposes an architectural landscape planning and design method that incorporates artificial intelligence (AI) parametric analysis. This is a new discipline of concurrent design that complements and expands architectural landscape design methodologies and is based on artificial intelligence methods. This study integrates artificial intelligence parametric design theory and methodology into architectural landscape design and presents a parametric method appropriate for landscape architecture design based on architectural landscape architecture characteristics.

Highlights

  • Relying on the continuous advancement of computer and digital technology, under the influence of programming linguistics, complexity theory, chaos theory, non-Euclidean geometry, system theory, and emergence theory, architectural landscape architecture design presents the characteristics of complexity and diversity

  • The landscapes generated by these parametric design methods show extremely high convergence. e so-called parametric design is to parameterize the result of the design. rough analysis, a certain factor that affects things is found, and they are qualitatively and quantitatively analyzed for data. e computer is input to compile the program to form the internal connection with the result, and the arithmetic unit is used to substitute the different values of the influencing information factors to construct the method of different information models of the output [1–5]

  • Parametric design, which is driven by digital and computer technology, has a wide range of applications in the field of architectural landscape architecture. is study explores a more technical parametric design method for architectural landscape design, combining artificial intelligence with architectural landscape planning and design, and developing an architectural landscape planning and design method that incorporates artificial intelligence parametric analysis. is is a new branch of design that is an extension of architectural landscape design methodologies and is based on artificial intelligence technologies. is study combines artificial intelligence parametric design theories and methods into architectural landscape design and proposes a parametric method suitable for landscape design based on the characteristics of architectural landscape design

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Summary

Introduction

Relying on the continuous advancement of computer and digital technology, under the influence of programming linguistics, complexity theory, chaos theory, non-Euclidean geometry, system theory, and emergence theory, architectural landscape architecture design presents the characteristics of complexity and diversity. Data calculation, and how to construct the logic to solve any problems in the planning and design process and programmatically solve the problem, the literature [29] introduced a higher technical method through nonlinear parameterized design Combining it with simpler construction technology makes it easier to carry out parametric design to the implementation stage, which has a greater impetus for the application for parametric design in landscape architecture. E learning factor strategy is dynamically adjusted In optimization methods, it hopes individuals have a large selfcognition part and a small group recognition part in the initial stage of the algorithm. Is effectively avoids the problem of the algorithm falling into the local optimal value and retains the best global particles of each generation.

Improve BP Network with IPSO
Experiment and Discussion
Evaluation for Network Convergence
Evaluation for Hidden Layer
Conclusions
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