Data prediction method and device, equipment and storage medium

Abstract

The embodiment of the invention relates to the field of artificial intelligence, and discloses a data prediction method, device and equipment and a storage medium, and the method comprises the steps: inputting sample data into a first neural network model, and carrying out the calculation to obtain a first feature vector of discrete business data and a second feature vector of continuous business data; pre-training a first neural network model by using the first feature vector, and calculating through the pre-trained first neural network model to obtain a third feature vector; inputting a target feature vector obtained by splicing the third feature vector and the second feature vector into a second neural network model, and training the first neural network model and the second neural network model according to a prediction result to obtain a data prediction model; and inputting the to-be-detected business data into the data prediction model to obtain the prediction result of the to-be-detected business data, thereby improving the accuracy of data prediction. The invention relates to a blockchain technology, for example, business data can be written into a blockchain so as to be used for scenes such as data evidence obtaining.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a data prediction method, device, equipment and storage medium. Background technique [0002] At present, more and more business products are appearing on the market. Among them, the business products will involve a lot of business data. For example, critical illness insurance in the insurance business requires users to pay premiums continuously for 20 years. In the process of maintaining business products, some users may have not paid in full or in installments due to their first purchase of business products. In this case, the business agents may not remind users to pay in time, which may cause The situation of payment suspension affects the interests of users and the user experience is poor. Therefore, how to effectively maintain business data is very important. Contents of the invention [0003] Embodiments of the present invention provide a data prediction ...

AI Technical Summary

Problems solved by technology

In the process of maintaining business products, some users may have not paid in full or in installments due to their first purchase of business products. In this case, the business agents may not remind users to pay in time, which may cause The situation of suspension of payment will affect the interests of users and the user experience will be poor

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