Time-warping transfer learning adapts an RNN trained on 10h fuel moisture data to predict for other fuel classes with different lag times, validated on Oklahoma field study data.
Metric Entropy Limits on Recurrent Neural Network Learning of Linear Dynamical Systems
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Transfer Learning for Dead Fuel Moisture Prediction Using Time-Warping Recurrent Neural Networks
Time-warping transfer learning adapts an RNN trained on 10h fuel moisture data to predict for other fuel classes with different lag times, validated on Oklahoma field study data.