AI enterprise intelligent foreground prediction model expert knowledge base system based on intelligent financial big data

An intelligent and model-based technology, applied in database models, forecasting, visual data mining, etc., can solve the problems of difficulty in choosing between the diversity of forecasting methods and accuracy, so as to save the workload of data collection, and the forecast results are objective, accurate, intuitive and friendly The effect of the user interface

Pending Publication Date: 2022-04-26
北京华软数云科技有限公司
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AI Technical Summary

Problems solved by technology

[0002] (T4) [Analytic model selection algorithm based on multiple business rules, accounting standards, formula standards, and multivariate equation calculation principles] discloses a [minimum extreme value of relative error, minimum extreme value of absolute error, maximum degree of fitting value, the smallest extreme value of fit, the largest F-score test value, and the smallest F-score test value], however, this / these designs have the following problems and shortcomings: (T5)【1. Diversity and accuracy of prediction method selection Difficult to choose

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  • AI enterprise intelligent foreground prediction model expert knowledge base system based on intelligent financial big data
  • AI enterprise intelligent foreground prediction model expert knowledge base system based on intelligent financial big data

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Embodiment Construction

[0010] As shown in the figure, the preferred implementation of the present invention / invention patent is (T11) [1. Prediction data standard access. 2. Optimization of forecasting index system 3. Construction of forecasting rules and logical reasoning. 4. Recognition and evaluation of prediction signals, 5. Construction of prediction models. 6. Combination of business forecast scenarios. 7. Preview and review of linkage analysis results. 8. Intelligent output of prediction results. 】.

[0011] The working principle and working process of this invention / invention patent are as follows: (T13) [Working principle and process of expert knowledge base system based on intelligent financial big data AI enterprise intelligent prospect prediction model: intelligent collection of forecast data, automatic call of forecast model, automatic forecast parameter Smart output of selection and prediction results].

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Abstract

The optimal implementation mode of the invention is (T11) '1, prediction data standard access, 2, prediction index system optimization, 3, prediction rule and logical reasoning construction, 4, prediction signal identification and evaluation, 5, prediction model construction, 6, business prediction scene combination, 7, linkage analysis result preview and audit, and 8, prediction result intelligent output'. The working principle and the working process of the AI enterprise intelligent foreground prediction model expert knowledge base system based on the intelligent financial big data are as follows: (T13) the working principle and the process of the AI enterprise intelligent foreground prediction model expert knowledge base system based on the intelligent financial big data comprise intelligent acquisition of prediction data, automatic calling of a prediction model, automatic selection of prediction parameters and intelligent output of a prediction result.

Description

technical field [0001] This invention / invention patent relates to a (T2) [according to the indicators, intelligently and automatically recommend the optimal model for prediction. The best forecasting methods intelligently automate batch forecasting tasks without human involvement. ], especially related to one (T3) [relationships among index forecasts, special forecasts, mixed forecasts and linkage analysis indices]. Background technique [0002] (T4) [Analytic model selection algorithm based on multiple business rules, accounting standards, formula standards, and multivariate equation calculation principles] discloses a [minimum extreme value of relative error, minimum extreme value of absolute error, maximum degree of fitting value, the smallest extreme value of fit, the largest F-score test value, and the smallest F-score test value], however, this / these designs have the following problems and shortcomings: (T5)【1. Diversity and accuracy of prediction method selection Di...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q40/00G06F16/26G06F16/28
CPCG06Q10/04G06Q10/0637G06Q40/125G06F16/26G06F16/285
Inventor 不公告发明人
Owner 北京华软数云科技有限公司
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