Study on Droplet Composition Recognition Based on LSTM Network Combined with Convolutional Neural Networks
Zhengqi Lu · Journal of Physics Conference Series · 2021
Abstract The collision and spreading processes of droplets are not the same due to the physical and chemical characteristics of droplets of different composition. A droplet collision experiment system was set up to capture videos of the droplet collision and spreading processes which changed as the droplet composition changed. A cascaded network was applied to extract spatial-temporal features in the videos and realize droplet composition recognition. The proposed method achieved 80% classification accuracy, which was relatively better performance compared to single back propagation network.