Machine learning-based financial statement transnational accounting criterion conversion method

A financial statement and machine learning technology, applied in instrumentation, calculation, structured data retrieval, etc., can solve the problems of low efficiency, time-consuming, time-consuming, etc., to achieve high efficiency and reduce business costs.

Active Publication Date: 2019-12-03
深圳市原点参数信息技术有限公司
View PDF12 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] Time-consuming and inefficient
[0014] Because relying on the professional judgme

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Machine learning-based financial statement transnational accounting criterion conversion method
  • Machine learning-based financial statement transnational accounting criterion conversion method
  • Machine learning-based financial statement transnational accounting criterion conversion method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] A method for transnational accounting standards conversion based on machine learning financial statements, characterized in that:

[0058] Collect and store financial data such as balance sheets, profit statements, cash flow statements, other comprehensive income statements, and financial notes of companies in different countries around the world, and classify and manage all data according to preset rules;

[0059] Form a knowledge base from various financial information, access the knowledge base through machine learning, learn accounting standards between industries in different regions, and understand the relationship between subjects and subjects, and between reports and reports;

[0060] Form specific conversion rules according to different accounting standards, report structures, and subject relationships and classifications, and store the conversion rules in the corresponding relationship library;

[0061] Realize the automatic conversion of accounting standards ...

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

No PUM Login to view more

Abstract

The invention provides a machine learning-based financial statement transnational accounting criterion conversion method. The method comprises the steps that a big data platform collects and stores global financial statement data of different countries, different languages and different industries over the years, and all the data are classified and managed according to preset rules. A machine (algorithm) embedded in a program accesses a big data platform to learn accounting criteria of different countries and different industries, each subject in accounting reports and logical relationships among the subjects, such as hierarchical relationships divided into first-level relationships, second-level relationships, third-level relationships and the like, and association relationships among thereports, such as relationships among an asset debt table, a profit table and a cash flow table. Conversion rules are formed through automatic learning of accounting criteria, accounting report tablestructures, subject classification and report relations of different countries. Based on the conversion rules, automatic conversion of accounting criteria is realized through a background algorithm.

Description

technical field [0001] The invention relates to the field of financial tools, in particular to a method for transnational accounting standard conversion of financial statements based on machine learning. Background technique [0002] Current status: [0003] In the financial industry, when it comes to industry analysis, enterprise analysis or cross-border investment, financial institutions such as banks, securities companies, fund companies, and investment companies need to perform cross-border (accounting standards) conversion of corporate financial statements. [0004] The most common method at present is to entrust a professional accounting firm to handle it. After receiving relevant tasks, the experts of the accounting firm: [0005] First, determine the country of the enterprise to be converted before and after the conversion, as well as the industry attributes in the respective countries, the reporting period (year) and other information. [0006] Secondly, the acco...

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
no application Login to view more
IPC IPC(8): G06F16/22G06F16/2455G06F16/28G06Q40/00
CPCG06F16/2282G06F16/24564G06F16/284G06Q40/125Y02P90/30
Inventor 叶利亚张小苑韩晓芊薛逸竹
Owner 深圳市原点参数信息技术有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap