Deep learning-based fraud transaction recognition method, fraud transaction recognition system and storage medium
A technology of deep learning and recognition method, applied in the fields of fraudulent transaction recognition methods, systems and storage media, can solve the problems of inaccurate and unreasonable fraudulent transaction recognition methods, and achieve the effect of improving accuracy and rationality
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[0054] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0055] The main solution of the embodiment of the present invention is to: obtain training samples, which are transaction data used to establish a fraudulent transaction detection model; construct a stacked restricted Boltzmann machine RBM neural network structure and perform training, and pass The trained RBM neural network structure performs dimensionality reduction and clustering on the training samples to divide the training samples into several groups; calculate the centroids of all groups, and calculate the Hamming distances between each group and the centroids respectively ; Determine the fraud probability of each group according to the calculated Hamming distances to establish a fraudulent transaction detection model; obtain the transaction data to be detected, and analyze the transaction data to be detected ac...
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