Solid-liquid dual channel data-driven method for Lagrangian fluid simulation
2021 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI)(2021)
摘要
To solve the problems of low accuracy in long time series prediction and low generality of network parameter model in the existing data-driven Lagrangian fluid simulation, a light neural network prediction model which is physics-based multi-layer shared perceptron was proposed. Each fluid particle is standardized by searching neighbor particles through the optimized parallel processing module. The...
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关键词
fluid simulation,data-driven
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