Adaptive residual convolutional neural network for compressive strength prediction of energetic materials using SEM images
Lei Song,
Aijun Yin,
Shuhui Chen
et al.
Abstract:The microstructure of materials has a great influence on the macroscopic mechanical properties of materials, and the relationship between them is of great significance to the design of materials. With the development of artificial intelligence and deep learning, many researchers have used convolutional neural networks(CNN) to correlate microscopic images with material properties, and achieved good results. However, for different types of material performance prediction tasks and datasets of different sizes, re… Show more
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