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

<p>This paper used a new interior graphic modeling research based on CAD and depth enhancement teaching models. A massive database for graphic design has been established. An optimization method is proposed based on intelligent decision making, intelligent monitoring, panoramic vision, professional cooperation and intelligent planning. This system can make many systems of different dimensions share and integrate horizontally. The graphic design of CAD is introduced into 3D CAD. The Boolean method is introduced into the smooth grid instruction to obtain the smooth surface of the target surface. Combining the object of plane decomposition with other geometric shapes by form-fitting instruction achieves object control. Experiments show the effectiveness of the method. The system has good running performance, stability and safety.</p>
</abstract>

This paper used a new interior graphic modeling research based on CAD and depth enhancement teaching models. A massive database for graphic design has been established. An optimization method is proposed based on intelligent decision making, intelligent monitoring, panoramic vision, professional cooperation and intelligent planning. This system can make many systems of different dimensions share and integrate horizontally. The graphic design of CAD is introduced into 3D CAD. The Boolean method is introduced into the smooth grid instruction to obtain the smooth surface of the target surface. Combining the object of plane decomposition with other geometric shapes by form-fitting instruction achieves object control. Experiments show the effectiveness of the method. The system has good running performance, stability and safety.

Graphic Design Optimization Method Based on Deep Reinforcement Learning Model

Applied Mathematics and Nonlinear Sciences

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

{"article-title":"Graphic Design Optimization Method Based on Deep Reinforcement Learning Model"}

This paper used a new interior graphic modeling research based on CAD and depth enhancement teaching models. A massive database for graphic design has been...

Graphic Design Optimization Method Based on Deep Reinforcement Learning Model

Online veröffentlicht: 06. Juni 2023

Seitenbereich: 2053 - 2060

Eingereicht: 02. Juli 2022

Akzeptiert: 29. Nov. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00309

Schlüsselwörter
Computer-aided, Deep reinforcement learning model, Interior graphic design, Rendering processing, Decision model

© 2023 Jiwen Zhang, published by Sciendo

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

Graphic Design Optimization Method Based on Deep Reinforcement Learning Model

Online veröffentlicht: 06. Juni 2023

Seitenbereich: 2053 - 2060

Eingereicht: 02. Juli 2022

Akzeptiert: 29. Nov. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00309

SchlüsselwörterComputer-aided, Deep reinforcement learning model, Interior graphic design, Rendering processing, Decision model

© 2023 Jiwen Zhang, published by Sciendo

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

Schlüsselwörter
Computer-aided, Deep reinforcement learning model, Interior graphic design, Rendering processing, Decision model