Automatic strain sensor design via active learning and data augmentation for soft machines
Published in Nature Machine Intelligence (2021)
TL
TL;DR
A three-stage machine learning framework was realized for a high-accuracy prediction model capable of automating the design of strain sensors and genetic algorithm-based selection to optimize the model’s prediction accuracy.