Tosuji Wada 2022a - Revision history

Scipediacontent at 07:47, 20 July 2022

2022-07-20T07:47:41Z

Scipediacontent: Scipediacontent moved page Draft Content 339016768 to Tosuji Wada 2022a

2022-07-06T15:27:00Z

Scipediacontent moved page Draft Content 339016768 to Tosuji Wada 2022a

Scipediacontent: Created page with " == Abstract == A convolutional neural network, which reproduce a function by data, was used to predict the amount of warp distortion of a four-layer circuit board in a reflo..."

2022-07-06T15:26:57Z

Created page with " == Abstract == A convolutional neural network, which reproduce a function by data, was used to predict the amount of warp distortion of a four-layer circuit board in a reflo..."

New page

== Abstract ==

A convolutional neural network, which reproduce a function by data, was used to predict the amount of warp distortion of a four-layer circuit board in a reflow soldering process. The data used for training are material properties such as Young's modulus, board thickness, and residual copper content as input data, and the predicted warp distortion data is the amount of warpage of the circuit board obtained from the measurement. Since a number of distortion data to be predicted was insufficient to be used for training, a newly proposed data augmentation method used to increase a number of data. The augmentation method is evaluated through the result of the predictions and discussed.

<pdf>Media:Draft_Content_339016768-2470_paper-3380-document.pdf</pdf>

== Document ==
<pdf>Media:Draft_Content_339016768-2470_paper-7382-document.pdf</pdf>

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 <pdf>Media:Draft_Content_339016768-2470_paper-3380-document.pdf</pdf>
-== Document ==
+== Full Paper ==
 <pdf>Media:Draft_Content_339016768-2470_paper-7382-document.pdf</pdf>

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