Learning aerodynamics with neural network

HIGHLIGHTS

• who: Wenhui Peng from the Department have published the research: Learning aerodynamics with neural network, in the Journal: Scientific Reports Scientific Reports
• what: The authors propose a neural_network based model: Element Spatial Convolution Neural_Network (ESCNN), to efficiently predict the airfoil lift cu00ad oefficient29. The authors propose a neural_network model that outperforms existing state-of-the-art NNs in the airfoil lift coefficient prediction task, with two orders of less parameters. The authors explore ESCNN`s learning ability with constrained activation by replacing LeakyReLU to ReLU function. In the end, the authors show that the network . . .
  

   

  

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