An efficient and high-resolution topology optimization method based on convolutional neural networks
Abstract
2. In Section 3, we used some vague statements to affirm the training process of the neural network, which cannot support others to reproduce the results of the paper. In addition, this section does not show the difference between this paper and other work, nor does it reflect innovation. 3. In Section 5, the numerical examples are not compared with other multi-resolution methods, which is not enough to explain the superiority of the method...
Paper Details
Title
An efficient and high-resolution topology optimization method based on convolutional neural networks
Published Date
Sep 28, 2019
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