Distribution curve-based prediction method, device and equipment, and storage medium
A technology of distribution curves and forecasting methods, which is applied in forecasting, marketing, business, etc., and can solve the problems of low forecasting accuracy of business data, high deviation rate of forecasted results of forecasted business data, ignoring the number of business orders and distribution rules of business expense data, etc. question
Active Publication Date: 2021-01-12
PING AN TECH (SHENZHEN) CO LTD
View PDF5 Cites 1 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0003] However, the forecasting method of the above-mentioned business data is to directly fuse the historical business data of all historical dates together for forecasting, and there is a certain sequence between holidays and working days, and the historical business of holidays and working days in each cycle month The relationship between the data and the historical business data of holidays and working days in the previous cycle month is not one-to-one correspondence, and the historical business data is easily affected by the number of business orders and business expense data on the date, ignoring the number of business orders and The distribution of business expense data leads to a high deviation rate of the forecast results of business data, which leads to low forecast accuracy of business data
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0067] Embodiments of the present invention provide a distribution curve-based prediction method, device, equipment, and storage medium, which improve the prediction accuracy of business expense data.
[0068] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and not necessarily Used to describe a specific sequence or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the term "comprising" or "having" and any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a sequence of steps or elements is not necessarily limited to those explicitly listed instead, may include other st...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to the technical field of artificial intelligence, and provides a distribution curve-based prediction method, device and equipment and a storage medium, which are used for improving the prediction accuracy of business cost data. The distribution curve-based prediction method comprises the following steps: calculating a plurality of date difference values between a plurality of ordering dates in second historical business order data and starting dates corresponding to the ordering dates; calculating a distribution curve value through a preset prediction model, the second historical business order data and the plurality of date differences; through a preset prediction model, the first historical business order data, the second historical business order data and the distribution curve value, predicting the business cost data in a preset prediction time period to obtain a plurality of prediction data sets; and combining the plurality of prediction data sets to obtainbusiness cost prediction data. In addition, the invention also relates to a blockchain technology, and the first historical business order data and the second historical business order data can be stored in the blockchain.
Description
technical field [0001] The invention relates to the field of intelligent decision-making of artificial intelligence, in particular to a distribution curve-based prediction method, device, equipment and storage medium. Background technique [0002] With the popularization of business, the statistics and prediction of various business data are also particularly important, such as: business data prediction. The current business data forecasting methods generally use time series forecasting algorithms and historical business data to predict business data at a preset time, so as to obtain forecasted business data. [0003] However, the forecasting method of the above-mentioned business data is to directly fuse the historical business data of all historical dates together for forecasting, and there is a certain sequence between holidays and working days, and the historical business of holidays and working days in each cycle month The relationship between the data and the historic...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q30/02
CPCG06Q10/04G06Q30/0202Y04S10/50
Inventor 揭珍周跃斌甘嘉成张海波
Owner PING AN TECH (SHENZHEN) CO LTD