Pre-trained network-based transfer learning: A small-sample machine learning approach to nuclear power plant classification problem
X Zhong, H Ban - Annals of Nuclear Energy, 2022 - Elsevier
Some research topics belonging to classification problems in the nuclear industry, such as
fault diagnosis and accident identification, can be solved by feature extraction and
subsequent application of statistical machine learning classifiers. Recently, deep neural
network-based methods with automatic feature extraction and high accuracy have gained
wide attention. They usually require large-scale training data, however, plant fault or
accident data are scarce or difficult to obtain. This paper proposes a convolutional network …
fault diagnosis and accident identification, can be solved by feature extraction and
subsequent application of statistical machine learning classifiers. Recently, deep neural
network-based methods with automatic feature extraction and high accuracy have gained
wide attention. They usually require large-scale training data, however, plant fault or
accident data are scarce or difficult to obtain. This paper proposes a convolutional network …
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