Loss optimization-based accounting voucher generation method and device and storage medium

Abstract

The invention provides a loss optimization-based accounting voucher generation method and device and a storage medium, and the method comprises the steps: an optimization step: training an initialized prediction model based on historical data through employing an optimized loss function, and obtaining a trained optimized prediction model; an identification step: using the optimization prediction model to predict and classify the journal data to obtain the category of the journal data; a selection step: selecting a processing strategy corresponding to the predicted category of the journal data from a preset strategy correspondence table; and a processing step of processing the journal data based on the selected processing strategy to generate an accounting voucher. A traditional loss function is optimized, variance calculation is carried out on the first k samples in the n samples according to the sequence from small to large, then calculation is carried out on the last n-k samples with large variance values, and the accuracy of overall certificate generation is improved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a method, device and storage medium for generating accounting vouchers based on optimization losses. Background technique [0002] The existing financial software processing process is automatically generating bank journals through RPA, OCR, bank-enterprise interconnection and other capabilities to improve the overall financial processing efficiency. Bank journals can be used to automatically generate vouchers through methods such as artificial intelligence and user memory, but there is a problem of low accuracy in the generation of vouchers involving social security and value-added tax. [0003] After research, it was found that the main reason for this defect is that the artificial intelligence software directly generates bookkeeping vouchers. Due to the complexity of social insurance and tax bookkeeping rules, it is difficult to generate accurately, and...

AI Technical Summary

Problems solved by technology

Bank journals can be used to automatically generate vouchers through methods such as artificial intelligence and user memory, but there is a problem of low accuracy in the generation of vouchers involving social security and value-added tax.

[0003] After research, it was found that the main reason for this defect is that the artificial intelligence software directly generates bookkeeping vouchers. Due to the complexity of social insurance and tax bookkeeping rules, it is difficult to generate accurately, and in the prior art, the classification model is not based on bookkeeping data. Improvements were made that resulted in less accurate classification predictions

[0004] Moreover, in the prior art, since there are no specific processing rules for social security and tax payment and bookkeeping, this also leads to poor bookkeeping accuracy, which is a defect in the prior art

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