Personalized audit method and robot system based on big data and depth learning
A deep learning and data technology, applied in the information field, can solve problems such as the inability to meet the audit requirements of different types of objects, single audit standards, etc.
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Embodiment 1
[0203] Embodiment 1 provides an audit method, the audit method includes a personalized audit standard acquisition step S100, object data acquisition step S200, standard corresponding data acquisition step S300, audit judgment step S400, audit feedback step S500, such as figure 1 shown.
Embodiment 2
[0204] Embodiment 2 provides an audit method, including the steps of the method described in Embodiment 1; wherein, the object data acquisition step S200 includes the data source acquisition step S210, object data retrieval S220, and the data acquisition step S300 corresponding to the standard includes data screening Step S310, data cleaning step S320.
Embodiment 3
[0205] Embodiment 3 provides an audit method, including the steps of the method described in Embodiment 1; wherein, the personalized audit standard acquisition step S100 includes the object type acquisition step S110, and the object type corresponding audit standard acquisition step S120, such as figure 2 shown.
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