CN110532269A - One kind being based on the transnational accounting standard conversion method of machine learning financial statement - Google Patents
One kind being based on the transnational accounting standard conversion method of machine learning financial statement Download PDFInfo
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Abstract
A kind of transnational accounting standard conversion method of financial statement based on machine learning, method system includes: that global country variant, different language, different industries financial statement data over the years are collected and stored to big data platform, and all data are classified and managed according to default rule.The embedded machine (algorithm) of program accesses big data platform, learn the logical relation between country variant, the accounting standard of different industries, each single item subject in accounting statement, subject and subject, such as hierarchical relationship is divided into level-one, second level, three-level, the incidence relation between report, such as the relationship between balance sheet, profit flow table and cash flow statement.By the automatic study to country variant accounting standard, accounting statement table structure, account classification, report relationship, transformation rule is formed.Accounting standard automatic conversion is realized by backstage algorithm based on these transformation rules.
Description
Technical field
The present invention relates to financial field of tool, are based on the transnational accounting standard of machine learning financial statement more particularly to one kind
Conversion method.
Background technique
Status at present:
In financial industry, when being related to the business such as industry analysis, enterprise diagnosis or cross-border investment, such as bank, financial institution,
Securities broker company, Fund Company, investment company need to carry out the work that transnational (accounting standard) is converted to the financial statement of enterprise.
Method most general at present is Certified Public Accountants Firm's processing of commission profession.The brainstrust of accounting firm is connected to phase
After the task of pass:
First, the country origin before needing enterprise's conversion to be converted, after converting and the industry attribute in respective country, report are determined
The information such as announcement phase (time).
Secondly, accountant consult enterprise before switching, after country in, the accounting standard in affiliated industry this year requires and wealth
Business report book keeping operation mode, the relevance between every section's purpose meaning, subject.
Finally, by the affiliated industrial accounting criterion of enterprise, both sides country understanding and micro-judgment, accountant establish turn
The corresponding relationship changed, manually one by one converts financial statement.
This method there are the drawbacks of:
Cost is high
It is related to transnational accounting data, it will usually it is all higher to count office's international accounting expert's cost.
Accuracy cannot ensure
It is required that accountant is proficient in multinational accounting standard, Certified Public Accountants Firm cannot be guaranteed that all accountants have and should have
Professional ability, the quality of the report of output places one's entire reliance upon personal ability and judgement.
Time-consuming, low efficiency
It is inefficient because being taken a substantial amount of time by the professional judgement and manual operation of personnel.
Summary of the invention
The purpose of the present invention is to provide one kind to be based on the transnational accounting standard conversion method of machine learning financial statement, can
Transnational accounting standard conversion is carried out to financial statement.
The embodiment of the present invention is achieved in that
One kind being based on the transnational accounting standard conversion method of machine learning financial statement, it is characterised in that:
Collect and store balance sheet, profit flow table, the cash flow statement, other comprehensive incomes of global country variant enterprise
All data are classified and are managed according to default rule by the financial datas such as table, finance note；
Knowledge base is formed from all kinds of financial information, which is accessed by machine learning, to different areas, industry
Between accounting standard learnt, understand subject and subject, the logical relation between report and report；
According to different accounting standards, structure of report and subject relationship and classification, specific transformation rule is formed, and will
Transformation rule is stored in corresponding relationship library；
Quality inspection is carried out to the financial statement converted, guarantees the correct of financial statement, then output report file.
In some embodiments of the invention, collected and storage enterprise's financial data includes global country variant, no
Same language, different industries financial statement data over the years.
In some embodiments of the invention, the accounting standard learnt mainly includes International Accounting Standard, U.S.'s accounting
The new principle of criterion and the country is carried out according to required form and criterion based on regional degree of recognition
Selection is applicable in.
In some embodiments of the invention, the learning Content of the knowledge base, including belonging to country variant, different industries
Being associated between the logical relation, report between the accounting standard of enterprise, each single item subject in accounting statement, subject and subject
Relationship.
In some embodiments of the invention, the content between described includes the review to report text, statement form
Review, report number meet and be attached with verification.
In some embodiments of the invention, after inputting new financial data, according to the new data inputted, to finance
Table is analyzed, is matched, and not matched account of finance will be identified.
In some embodiments of the invention, data analysis is with matched mainly including following process:
It imports new data and carries out batch and match calculation, report subject is carried out automatically with calculation, and calculate the standard subject amount of money；
Its Auto-matching mathematical model are as follows:
Wherein, Sim (A, B): subject A with selection section purpose similarity；
N: the single existing corresponding relationship subject identical characters number of new subject and selection；
M: the single existing biggish section's purpose number of characters of corresponding relationship subject number of characters of new subject and selection；
Wherein, p (A): no corresponding relationship subject has the similar probability of corresponding relationship subject with the single of selection；
Ai: i-th of word.
The report being correctly completed label is become into completion status, is waited to be output.
In some embodiments of the invention, to not matched subject, the master die most proper with subject is not matched is looked for
Plate subject is matched；When modifying for the subject of repeated matching, need to select in a plurality of subject listed with it is current
The modification for the progress repeated matching that subject is best suitable for.
In some embodiments of the invention, if described occur error in data with calculation automatically to what subject report carried out,
Matching rule foundation is carried out to report is changed by accounting specialist, Auto-matching meter is carried out to the report of same problems after confirmation is correct
It calculates.
In the present invention, if error in data occurs for the calculating of the standard form amount of money, system is checked by accounting specialist
Logic rules confirm it is errorless after the report of same problems is calculated automatically.
The embodiment of the present invention at least have the following advantages that or the utility model has the advantages that
1. the utilization of new technology
With technologies such as cloud computing, big data and machine learning (algorithm), completed in conjunction with the exploitation of business expert team,
General Promotion professional ability.
2. accuracy is high
The utilization of new technology ensure that more comprehensively, more fully grasp accounting standard and financial data, converted to across criterion
The application of corresponding relationship rule is more accurate.
3. reducing cost
Entire conversion process is automatically performed by program, substantially reduces operating cost.
4. high-efficient, easy to use
It is accessed by network, enters data into system, the wealth after selecting conversion country, software systems to convert automatic output
Business data report.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is that conversion of the embodiment of the present invention checks flow diagram.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.The present invention being usually described and illustrated herein in the accompanying drawings is implemented
The component of example can be arranged and be designed with a variety of different configurations.
Therefore, the detailed description of the embodiment of the present invention provided in the accompanying drawings is not intended to limit below claimed
The scope of the present invention, but be merely representative of selected embodiment of the invention.Based on the embodiments of the present invention, this field is common
Technical staff's every other embodiment obtained without creative efforts belongs to the model that the present invention protects
It encloses.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.
In the description of the embodiment of the present invention, " multiple " represent at least two.
Embodiment 1
One kind being based on the transnational accounting standard conversion method of machine learning financial statement, it is characterised in that:
Collect and store balance sheet, profit flow table, the cash flow statement, other comprehensive incomes of global country variant enterprise
All data are classified and are managed according to default rule by the financial datas such as table, finance note；
Knowledge base is formed from all kinds of financial information, which is accessed by machine learning, to different regional industries
Between accounting standard learnt, understand subject and subject, the relationship between report and report；
According to different accounting standards, structure of report and subject relationship and classification, specific transformation rule is formed, and will
Transformation rule is stored in corresponding relationship library；
The automatic conversion of accounting standard is realized by backstage algorithm based on existing transformation rule；
Quality inspection is carried out to the financial statement converted, guarantees the correct of financial statement, then output report file.
Specifically, in the embodiment of invention, collected and storage enterprise's financial data include global country variant,
Different language, different industries financial statement data over the years.
In an embodiment of the present invention, the accounting standard learnt mainly include International Accounting Standard, American Accounting Standards,
And domestic new principle, selection is carried out based on regional degree of recognition according to required form and criterion and is fitted
With.
In some embodiments of the invention, the learning Content of the knowledge base, including belonging to country variant, different industries
Being associated between the logical relation, report between the accounting standard of enterprise, each single item subject in accounting statement, subject and subject
Relationship.
In some embodiments of the invention, the content between described includes the review to report text, statement form
Review, report number meet and be attached with verification.
In some embodiments of the invention, after inputting new financial data, according to the new data inputted, to finance
Table is analyzed, is matched, and not matched account of finance will be identified.
For the data analysis and matching, as shown in Figure 1, mainly including following process:
It imports new data and carries out batch and match calculation, report subject is carried out automatically with calculation, and calculate the standard subject amount of money；
Similar screening, the centralized calculation standard form amount of money are carried out to correct report is matched, and is tested to repeatability；
The report being correctly completed label is become into completion status, is waited to be output.
In some embodiments of the invention, to not matched subject, the master die most proper with subject is not matched is looked for
Plate subject is matched；When modifying for the subject of repeated matching, need to select in a plurality of subject listed with it is current
The modification for the progress repeated matching that subject is best suitable for.
If it is described to subject report carry out it is automatic error in data occurs with calculating, carried out by accounting specialist to changing report
It is established with rule, Auto-matching calculating is carried out to the report of same problems after confirmation is correct.
If error in data occurs for the calculating of the standard form amount of money, check that the logic rules of system confirm by accounting specialist
The report of same problems is calculated automatically after errorless.
The above method is illustrated with a specific company data below,
It, can be to the public affairs of input after inputting Business Name to be matched in origin parameter financial data standardized management system
Department's title is screened, and then through overmatching, its data sheet state can be shown as correct or mistake；
For triggering the report of correct and error condition, it can successively be matched again, obtain a more obvious state
Display:
State is correct report, needs successively quickly to be audited again；
State is the report of mistake, needs to find reason and modifies, can on the basis of guaranteeing speed and quality
Reach correct state.
Based on this, in subsequent operation, it is contemplated that the problem of same company's report form type is likely to occur can be much like
Or it is identical, first all kinds of reports classification of a company uniformly can be handled, can be further improved treatment effeciency.
For all kinds of reports, generally the latest report can be selected first to be modified, consider that the latest content can
Several phases after capable of covering generally first modify the subject not matched with repeated matching state in the report of a phase.
Have when in discovery report as not matching standard form format output error caused by subject, the section that " will not match "
Mesh carries out fitting into the corresponding region of standard form manually in the regional location of the original report.
The first step selects not matched subject, carries out subject matching.
Second step is looked for according to subject scanning and region is not matched and does not match the mark that subject scans and region is most proper
Quasi-mode plate subject, and selected Course in English, completion do not match the matching of section's purpose.
For the subject of repeated matching, need to select with current subject most in two of repeated matching or a plurality of subject
One met, then modifies.
It is the report of mistake for similar not same period state, it, can be before to report when carrying out the calculating standard amount of money
Automatic of modification be correct status to calculating.
After above-mentioned inspection, after the state of report is all revised as correct, similar report form type can be screened, again
The problem of concentrating all kinds of reports to calculate the standard form amount of money, and examining repeated matching.
For the inspection carried out again, the subject of the repeated matching filtered out, according to the association of repeated matching standard form
Subject selects correctly matching that can re-establish new matching process if standard form matching is all incorrect.
After the repeated matching for completing a phase report detects, modified finish can be dropped out by query filter again
The different phase reports of repeated matching section purpose.It is to calculate the standard form amount of money again in correct report and shape occur for state
When state mistake, then need to re-start rectification process until being revised as correct status.
After the repeated matching problem that the correct report of whole states occurs all is corrected, then again again this kind of states
The report being correctly completed is labeled as completion status, not will receive subsequent new pair re-established then for the report completed
The influence that should be related to.
In addition, the problem present for various reports, can also provide effective solution:
Balance sheet (BS) table:
The subject of " not matching ": original subject does not have Auto-matching to enter OPD.
Solution at this stage: it " is not matched " to subject according to the original report affiliated area and matches the region OPD subject)
Wrong matching area: as entered after subject Auto-matching of the original report in current noncurrent or its
His region, leads to mistake.
Solution at this stage: according to the data of the original report, the subject for running wrong region is looked for, original report is adjusted back
The table region having.
Off-balancesheet data are mixed: should or should not be included in some off-balancesheet data of matching and calculating.
Solution at this stage: the original report itself is included in the subject of calculating, to be matched；The original report is not included in
Calculate but system Auto-matching enters the subject of calculating, to cancel association.
Profit flow table (IS) table
The subject of " not matching ": original subject does not have Auto-matching to enter OPD
Solution at this stage: it " is not matched " to subject according to the original report affiliated area and matches the region OPD subject.
Wrong matching area: as the original report enters after the subject Auto-matching in Operating Expense.
Non-Operating Expense or other regions, lead to mistake.
Solution at this stage: according to the data of the original report, the subject for running wrong region is looked for, is adjusted back
The original report region having.
Off-balancesheet data are mixed: should or should not be included in some off-balancesheet data of matching and calculating.
Solution at this stage: the original report is included in calculating, to be matched；The original report be not included in calculating but
Auto-matching enters calculating, to cancel association.
Data positive and negative values problem: IS table is related to more computational problem, and the mode that initial data positive and negative values are presented is not united
One.
Other composite income sheet (OCI) tables
The subject of " not matching ": original subject does not have Auto-matching to enter OPD.
Solution at this stage: (it " is not matched " to subject according to the original report affiliated area and matches the region OPD subject.
Off-balancesheet data are mixed: should or should not be included in some off-balancesheet data of matching and calculating.
Solution at this stage: the original report itself is included in the subject of calculating, to be matched；The original report is not included in
Calculate but system Auto-matching enters the subject of calculating, to cancel association.
Cash flow statement (CF) table
The subject of " not matching ": original subject does not have Auto-matching to enter OPD.
Solution at this stage: it " is not matched " to subject according to the original report affiliated area and matches the region OPD subject.
Wrong matching area: other areas CFI or CFF are entered after such as subject Auto-matching of the original report in CFO
Domain leads to mistake.
Solution at this stage: according to the data of the original report, the subject for running wrong region is looked for, original report is adjusted back
The table region having.
Off-balancesheet data are mixed: should or should not be included in some off-balancesheet data of matching and calculating
Solution at this stage: the original report is included in calculating, to be matched；The original report be not included in calculating but
Auto-matching enters calculating, to cancel association.
Numerical symbol problem: the original report calculates the item that should be born, and is shown as positive value, largely appears in outflow.
Solution at this stage: according to the calculating of the original report, using " setting that negative " function adjusts.
These are only the preferred embodiment of the present invention, is not intended to restrict the invention, for those skilled in the art
For member, the invention may be variously modified and varied.All within the spirits and principles of the present invention, it is made it is any modification,
Equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. one kind is based on the transnational accounting standard conversion method of machine learning financial statement, characterized by the following steps:
Collect and store the balance sheet of global country variant enterprise, profit flow table, cash flow statement, other composite income sheets,
All data are classified and are managed according to default rule by the financial datas such as finance note；
Knowledge base is formed from all kinds of financial information, which is accessed by machine learning, between different areas, industry
Accounting standard learnt, analyze subject and subject, the logical relation between report and report；
According to different accounting standards, structure of report and subject relationship and classification, specific transformation rule is formed, and will conversion
Rule is stored in corresponding relationship library；
The automatic conversion of accounting standard is realized by backstage algorithm based on existing transformation rule；
Quality inspection is carried out to the financial statement converted, guarantees the correct of financial statement, then output report file.
2. according to claim 1 be based on the transnational accounting standard conversion method of machine learning financial statement, which is characterized in that
Collected and storage enterprise's financial data includes global country variant, different language, different industries financial statement number over the years
According to.
3. according to claim 1 be based on the transnational accounting standard conversion method of machine learning financial statement, which is characterized in that
The accounting standard learnt mainly includes the new principle of International Accounting Standard, American Accounting Standards and the country, root
Selection is carried out based on regional degree of recognition according to required form and criterion to be applicable in.
4. according to claim 1 be based on the transnational accounting standard conversion method of machine learning financial statement, which is characterized in that
The learning Content of the knowledge base, including each in country variant, the accounting standard of different industries owned enterprise, accounting statement
The incidence relation between logical relation, report between item subject, subject and subject.
5. according to claim 1 be based on the transnational accounting standard conversion method of machine learning financial statement, which is characterized in that
Content between described include the review to report text, the review of statement form, report number meet and be attached with verification.
6. according to claim 1 be based on the transnational accounting standard conversion method of machine learning financial statement, which is characterized in that
After inputting new financial data, according to the new data inputted, financial table is analyzed, is matched, not matched finance section
Mesh will be identified.
7. according to claim 6 be based on the transnational accounting standard conversion method of machine learning financial statement, which is characterized in that
The data analysis is with matched mainly including following process:
It imports new data and carries out batch and match calculation, report subject is carried out automatically with calculation, and calculate the standard form amount of money；
The report being correctly completed label is become into completion status, is waited to be output.
Its Auto-matching mathematical model are as follows:
Wherein, Sim (A, B): subject A with selection section purpose similarity；
N: the single existing corresponding relationship subject identical characters number of new subject and selection；
M: the single existing biggish section's purpose number of characters of corresponding relationship subject number of characters of new subject and selection；
Wherein, p (A): no corresponding relationship subject has the similar probability of corresponding relationship subject with the single of selection；
Ai: i-th of word.
8. according to claim 6 be based on the transnational accounting standard conversion method of machine learning financial statement, which is characterized in that
To not matched subject, looks for the standard form subject most proper with subject is not matched and matched；For the section of repeated matching
When mesh is modified, one that selects to be best suitable for current subject in a plurality of subject listed is needed to carry out repairing for repeated matching
Change.
9. according to claim 6 be based on the transnational accounting standard conversion method of machine learning financial statement, which is characterized in that
If described occur error in data with calculation automatically to what subject report carried out, the mismatch or repetition of nearest a collection of report are handled
The problem of matching, after pending data is correct, then calculates other similar, asynchronous error reports.
10. according to claim 7 be based on the transnational accounting standard conversion method of machine learning financial statement, feature exists
In if error in data occurs for the calculating of the standard form amount of money, the logic rules confirmation by accounting specialist's inspection system is errorless
The report of same problems is calculated automatically afterwards.
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| CN111241845A (en) * | 2019-12-31 | 2020-06-05 | 上海犀语科技有限公司 | Automatic financial subject identification method and device based on semantic matching method |
| CN111258953A (en) * | 2020-01-08 | 2020-06-09 | 中联财联网科技有限公司 | Method for converting financial data into assessment data for standardization |
| CN112053217A (en) * | 2020-09-03 | 2020-12-08 | 中国银行股份有限公司 | Financial valuation statement generation method and device |
| CN113706010A (en) * | 2021-08-26 | 2021-11-26 | 北京沃东天骏信息技术有限公司 | Linkage processing method and device, equipment and storage medium |
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