A Novel Self‐Updating Design Method for Complex 3D Structures Using Combined Convolutional Neuron and Deep Convolutional Generative Adversarial Networks

A Novel Self‐Updating Design Method for Complex 3D Structures Using Combined Convolutional Neuron and Deep Convolutional Generative Adversarial Networks

Mechanical design is one of the essential disciplines in engineering applications, while inspirations of design ideas highly depend on the ability and prior knowledge of engineers or designers. With the rapid development of machine learning (ML) techniques, artificial intelligence (AI)‐based design...

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Bibliographic Details
Main Authors: Zewen Gu, Xiaonan Hou, Mohamed Saafi, Jianqiao Ye
Format: Article
Language:English
Published: Wiley 2022-06-01
Series:Advanced Intelligent Systems
Subjects:
convolutional neuron networks
deep convolutional generative adversarial networks
engineering designs
helical structures
machine learning
Online Access:https://doi.org/10.1002/aisy.202100186

Internet

https://doi.org/10.1002/aisy.202100186

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