Risk prediction method and device based on intelligent AI machine learning

A technology of risk forecasting and machine learning, applied in neural learning methods, forecasting, instruments, etc., can solve the problem of low accuracy of software project forecasting

Inactive Publication Date: 2021-10-15
HANGYIN CONSUMER FINANCE CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention aims to solve the problem of low prediction accuracy of software projects

Method used

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  • Risk prediction method and device based on intelligent AI machine learning
  • Risk prediction method and device based on intelligent AI machine learning
  • Risk prediction method and device based on intelligent AI machine learning

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Embodiment Construction

[0048] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0049] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. example. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0050] Reference attached figure 1 , is a method for risk prediction based on intelligent AI machine learning in an embodiment of the present invention, the steps include:

[0051] Obtain project sample data in real time, analyze and process project sample data to obtain sample data;...

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Abstract

The invention provides a risk prediction method and device based on intelligent AI machine learning, and belongs to the field of project risk prediction. The risk prediction method comprises the following steps: extracting and cleaning project data, acquiring sample data of a plurality of projects, and acquiring feature sets, including a project basic feature set, a project workload feature set, a project plan feature set, a project tracking feature set and a project change feature set, of each project according to the sample data; conducting training by using the feature sets of each sample item to obtain a risk prediction model; inputting the feature sets of a to-be-verified project into the risk prediction model to obtain a verification result, namely a project risk prediction result; and comparing the project risk prediction result with the actual risk condition of the project, and training the risk prediction model so so as to predict software research and development project risks in advance.

Description

technical field [0001] The present invention relates to the field of project risk prediction, in particular to a risk prediction method and device based on intelligent AI machine learning. Background technique [0002] With the continuous development of science and technology, the complexity of software R&D projects continues to increase, the R&D cycle continues to grow, and there are many uncertain factors. In order to reduce the probability of risk occurrence and effectively avoid the loss of potential risks to the entire R&D project, there are It is necessary to predict the risks of software R&D projects. The existing literature proposes to analyze the risk relationship of power grid construction projects based on rough set theory, and calculate the correlation coefficient of risk factors to provide a basis for risk management of software projects. However, there is a problem that the correlation between two project risk factors is not high. On the basis of the above, ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04G06K9/62G06N3/04G06N3/08
CPCG06Q10/0635G06Q10/04G06N3/08G06N3/045G06F18/2415
Inventor 庞中正陈靖鸿杨明
Owner HANGYIN CONSUMER FINANCE CO LTD
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