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Topology Optimization on heat conduction dataset (test)

99.9Binary AccuracyThresholding
97.19697.89898.699.302Sep 27, 2017
Updated 5mo ago

Evaluation results

MethodLinks
ThresholdingIteration=80, Training dataset=minimal compliance dataset2017.0999.9
ThresholdingIteration=60, Training dataset=minimal compliance dataset2017.0999.8
CNN P(10)Iteration=80, Training dataset=minimal compliance dataset2017.0999.8
CNN P(30)Iteration=80, Training dataset=minimal compliance dataset2017.0999.8
CNN U[1, 100]Iteration=80, Training dataset=minimal compliance dataset2017.0999.8
ThresholdingIteration=50, Training dataset=minimal compliance dataset2017.0999.7
CNN P(5)Iteration=60, Training dataset=minimal compliance dataset2017.0999.7
CNN P(5)Iteration=80, Training dataset=minimal compliance dataset2017.0999.7
CNN P(10)Iteration=60, Training dataset=minimal compliance dataset2017.0999.7
CNN P(30)Iteration=50, Training dataset=minimal compliance dataset2017.0999.7
CNN P(30)Iteration=60, Training dataset=minimal compliance dataset2017.0999.7
CNN U[1, 100]Iteration=50, Training dataset=minimal compliance dataset2017.0999.7
CNN U[1, 100]Iteration=60, Training dataset=minimal compliance dataset2017.0999.7
ThresholdingIteration=40, Training dataset=minimal compliance dataset2017.0999.6
CNN P(5)Iteration=50, Training dataset=minimal compliance dataset2017.0999.6
CNN P(10)Iteration=50, Training dataset=minimal compliance dataset2017.0999.6
CNN P(30)Iteration=40, Training dataset=minimal compliance dataset2017.0999.6
CNN U[1, 100]Iteration=40, Training dataset=minimal compliance dataset2017.0999.6
CNN P(5)Iteration=40, Training dataset=minimal compliance dataset2017.0999.5
CNN P(10)Iteration=40, Training dataset=minimal compliance dataset2017.0999.5
CNN P(30)Iteration=30, Training dataset=minimal compliance dataset2017.0999.5
CNN U[1, 100]Iteration=30, Training dataset=minimal compliance dataset2017.0999.5
ThresholdingIteration=30, Training dataset=minimal compliance dataset2017.0999.4
CNN P(5)Iteration=30, Training dataset=minimal compliance dataset2017.0999.4
CNN P(10)Iteration=30, Training dataset=minimal compliance dataset2017.0999.4
CNN P(30)Iteration=20, Training dataset=minimal compliance dataset2017.0999.4
CNN U[1, 100]Iteration=20, Training dataset=minimal compliance dataset2017.0999.3
CNN P(5)Iteration=20, Training dataset=minimal compliance dataset2017.0999.2
CNN P(10)Iteration=20, Training dataset=minimal compliance dataset2017.0999.2
CNN P(30)Iteration=15, Training dataset=minimal compliance dataset2017.0999.2
ThresholdingIteration=20, Training dataset=minimal compliance dataset2017.0999.1
CNN U[1, 100]Iteration=15, Training dataset=minimal compliance dataset2017.0999.1
CNN P(5)Iteration=15, Training dataset=minimal compliance dataset2017.0999
CNN P(10)Iteration=15, Training dataset=minimal compliance dataset2017.0999
CNN P(30)Iteration=10, Training dataset=minimal compliance dataset2017.0999
ThresholdingIteration=15, Training dataset=minimal compliance dataset2017.0998.8
CNN P(10)Iteration=10, Training dataset=minimal compliance dataset2017.0998.8
CNN U[1, 100]Iteration=10, Training dataset=minimal compliance dataset2017.0998.8
CNN P(5)Iteration=10, Training dataset=minimal compliance dataset2017.0998.7
ThresholdingIteration=10, Training dataset=minimal compliance dataset2017.0998.4
CNN P(5)Iteration=5, Training dataset=minimal compliance dataset2017.0998.1
CNN P(10)Iteration=5, Training dataset=minimal compliance dataset2017.0998.1
CNN U[1, 100]Iteration=5, Training dataset=minimal compliance dataset2017.0997.8
ThresholdingIteration=5, Training dataset=minimal compliance dataset2017.0997.5
CNN P(30)Iteration=5, Training dataset=minimal compliance dataset2017.0997.3