Abstract
In order to identify abnormal behavior in image samples, a transfer learning recognition model based on Inception-V3 neural network is proposed in this paper. The whole process consists of two parts: 1) Inception-V3 neural network is used to extract the features of image samples.2) The abnormal behavior recognition model is established to classify the obtained features. In this paper, three-layer feedforward neural network algorithm is used to compare with other common machine learning classification models (k-nearest neighbor algorithm, random forest, LightGBM, SVM, two-layer feedforward neural network).The results show that the performance of anomalous behavior recognition based on three-layer feedforward neural network is better than other classification models.
Published Version
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