Very accurate and simple CAD models based on neural networks for coplanar waveguide synthesis

2005 ◽  
Vol 15 (2) ◽  
pp. 218-224 ◽  
Author(s):  
Celal Yildiz ◽  
Mustafa Turkmen
Keyword(s):  
Neural Networks ◽  
Coplanar Waveguide ◽  
Cad Models ◽  
Waveguide Synthesis

CAD Models for Coplanar Waveguide Synthesis using Artificial Neural Network

2001 ◽  
Vol 18 (2-3) ◽  
pp. 123-129 ◽  
Author(s):  
S Salivahanan ◽  
R Ramesh ◽  
S Karthikeyan ◽  
S Raju ◽  
V Abhaikumar
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Coplanar Waveguide ◽  
Cad Models ◽  
Artificial Neural ◽  
Waveguide Synthesis

scholarly journals DEMOCRATISING DESIGN THROUGH SURROGATE MODEL CONVOLUTIONAL NEURAL NETWORKS OF COMPUTER AIDED DESIGN REPOSITORIES

2020 ◽  
Vol 1 ◽  
pp. 1285-1294
Author(s):  
J. Gopsill ◽  
S. Jennings
Keyword(s):  
Neural Networks ◽  
3D Printing ◽  
Convolutional Neural Networks ◽  
Real World ◽  
Surrogate Model ◽  
Computer Aided Design ◽  
Computer Aided ◽  
Cad Models ◽  
Knowledge Intensive ◽  
Aided Design

AbstractThe capability to manufacture at home is continually increasing with technologies, such as 3D printing. However, the ability to design products suitable for manufacture and use remains a highly-skilled and knowledge intensive activity. This has led to ‘content creators’ providing vast repositories of manufacturable products for society, however challenges remain in the search & retrieval of models. This paper presents the surrogate model convolutional neural networks approach to search and retrieve CAD models by mapping them directly to their real-world photographed counterparts.

Accurate and simple closed-form formulas for coplanar waveguide synthesis

1995 ◽  
Vol 31 (23) ◽  
pp. 2017-2019 ◽  
Author(s):  
T.Q. Deng ◽  
M.S. Leong ◽  
P.S. Kooi
Keyword(s):  
Closed Form ◽  
Coplanar Waveguide ◽  
Waveguide Synthesis
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