Two-stage convolutional encoder-decoder network to improve the performance and reliability of deep learning models for topology optimization

A vital necessity when employing state-of-the-art deep neural networks (DNNs) for topology optimization is to predict near-optimal structures while satisfying pre-defined optimization constraints and objective function. Existing studies, on the other hand, suffer from the structural disconnections w...

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