2 papers
stat.ML2020
Training a U-Net based on a random mode-coupling matrix model to recover acoustic interference striations
Xiaolei Li, Wenhua Song, Dazhi Gao +2
A U-Net is trained to recover acoustic interference striations (AISs) from distorted ones. A random mode-coupling matrix model is introduced to generate a large number of training…
cs.LG2019
Sound source ranging using a feed-forward neural network with fitting-based early stopping
Jing Chi, Xiaolei Li, Haozhong Wang +2
When a feed-forward neural network (FNN) is trained for source ranging in an ocean waveguide, it is difficult evaluating the range accuracy of the FNN on unlabeled test data. A fit…